21 jobs found

About Us Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones. About The Role We are seeking a Data Scientist for our growing Analytics practice. In this role, you will be working closely with clients' delivery teams from Marketing and Analytics, as well as the Concord delivery team of project leads, analysts, engineers, and data scientists. This is a client-facing consultant role with room to grow your career along one of the following tracks: technical data & analytics, account leadership, and/or management. The ideal candidate combines deep analytical expertise, business acumen, and a passion for storytelling with data. You will support clients through descriptive, prescriptive, and predictive stages. This role is best suited for someone who enjoys being at the intersection of analytics, communication, and strategy. You'll be expected not only to design and implement technical solutions but also to communicate findings clearly to both technical and non-technical stakeholders, mentor junior team members, and manage projects with competing priorities. The ideal candidate brings deep analytical expertise, strong marketing context, and the ability to translate data into compelling stories. Knowledge of digital measurement, digital marketing, personalization, CDPs, user experience, analytics, and a strong focus on project management is needed to be successful. A broad understanding of SQL or Python will be required for the role. What You Will Be Doing Design, develop, and maintain scalable data pipelines and architectures. Partner with data scientists, engineers, and business stakeholders to define use cases and translate requirements into technical solutions. Optimize workflows for data ingestion, transformation, and feature engineering. Collaborate with cloud architects to design cost-effective, high-performance data solutions. Understanding of marketing analytics - preferably CRM or channel analytics What We Are Looking For 3+ years in the Data & Analytics space, preferably with consulting experience. Experience with project management is a strong plus. Solid ability to translate between business needs and advanced analytic techniques. Our clients may be from Marketing, IT, or Analytics. Strong understanding of SQL & Python. Strong communication skills, verbal and written, and enjoys talking shop with others. Comfortable with both technically oriented and business-oriented audiences. Ability to problem-solve in a dynamic, changing environment. Ability to gather requirements and generate Data Science & Engineering tickets as needed. Ability to prioritize and manage multiple competing responsibilities while delivering quality outcomes. Track record of proactive, value-added contributions to internal and client teams. Collaborating with high-performing cross-functional teams A love for data, and sound belief in its possibilities. Technical Knowledge & Skills SQL & Python are must-haves Cloud platforms experience such as Databricks, AWS, Snowflake, or Google Cloud Platform R / SAS is a nice to have Strong understanding of statistics AI platform experience such as Anthropic, Gemini, Microsoft Co-Pilot What We Offer (W2 Benefits) Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being. Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA). Disability Insurance: Short- and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage. Employee Assistance Program (EAP): Access to personal and professional support resources. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection. Paid Time Off and Holidays (Only W2 Salary ): PTO policy and paid company holidays. Additional Information Employment type: Full-time employment with Concord Salary: $80,000 - $110,000 base. Compensation will be determined based on the candidate's qualifications and relevant experience. Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team. Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required. Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future. Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!

About Us Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones. About The Role We are seeking a Data Scientist for our growing Analytics practice. In this role, you will be working closely with clients' delivery teams from Marketing and Analytics, as well as the Concord delivery team of project leads, analysts, engineers, and data scientists. This is a client-facing consultant role with room to grow your career along one of the following tracks: technical data & analytics, account leadership, and/or management. The ideal candidate combines deep analytical expertise, business acumen, and a passion for storytelling with data. You will support clients through descriptive, prescriptive, and predictive stages. This role is best suited for someone who enjoys being at the intersection of analytics, communication, and strategy. You'll be expected not only to design and implement technical solutions but also to communicate findings clearly to both technical and non-technical stakeholders, mentor junior team members, and manage projects with competing priorities. The ideal candidate brings deep analytical expertise, strong marketing context, and the ability to translate data into compelling stories. Knowledge of digital measurement, digital marketing, personalization, CDPs, user experience, analytics, and a strong focus on project management is needed to be successful. A broad understanding of SQL or Python will be required for the role. What You Will Be Doing Design, develop, and maintain scalable data pipelines and architectures. Partner with data scientists, engineers, and business stakeholders to define use cases and translate requirements into technical solutions. Optimize workflows for data ingestion, transformation, and feature engineering. Collaborate with cloud architects to design cost-effective, high-performance data solutions. Understanding of marketing analytics - preferably CRM or channel analytics What We Are Looking For 3+ years in the Data & Analytics space, preferably with consulting experience. Experience with project management is a strong plus. Solid ability to translate between business needs and advanced analytic techniques. Our clients may be from Marketing, IT, or Analytics. Strong understanding of SQL & Python. Strong communication skills, verbal and written, and enjoys talking shop with others. Comfortable with both technically oriented and business-oriented audiences. Ability to problem-solve in a dynamic, changing environment. Ability to gather requirements and generate Data Science & Engineering tickets as needed. Ability to prioritize and manage multiple competing responsibilities while delivering quality outcomes. Track record of proactive, value-added contributions to internal and client teams. Collaborating with high-performing cross-functional teams A love for data, and sound belief in its possibilities. Technical Knowledge & Skills SQL & Python are must-haves Cloud platforms experience such as Databricks, AWS, Snowflake, or Google Cloud Platform R / SAS is a nice to have Strong understanding of statistics AI platform experience such as Anthropic, Gemini, Microsoft Co-Pilot What We Offer (W2 Benefits) Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being. Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA). Disability Insurance: Short- and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage. Employee Assistance Program (EAP): Access to personal and professional support resources. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection. Paid Time Off and Holidays (Only W2 Salary ): PTO policy and paid company holidays. Additional Information Employment type: Full-time employment with Concord Salary: $80,000 - $110,000 base. Compensation will be determined based on the candidate's qualifications and relevant experience. Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team. Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required. Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future. Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!

About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you'll own the analytics strategy for DoorDash Ads for Restaurants-one of the company's fastest-growing and most dynamic businesses. You'll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you'll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You're excited about this opportunity because you will Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods-such as cohort analysis, regression modeling, and experimentation-to identify growth opportunities and guide strategy. Thrive in a fast-paced, high-pressure environment, staying creative and resourceful in solving complex problems with limited resources. We're excited about you because You have 8+ years of experience in data analytics, consulting, or a related field, with the executive communication skills required to translate data into business impact. You're an empathetic and effective people manager who prioritizes coaching, development, and team alignment. You bring deep expertise in SQL, A/B testing, and statistical analysis (e.g. hypothesis testing, regression modeling, experimentation). You have hands-on experience with funnel optimization, user segmentation, and time-series analysis, and can guide others in applying these techniques. You're scrappy and strategic, able to navigate ambiguity, influence executive stakeholders, and deliver results under pressure. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $219,700-$323,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our team is working to define the "canonical stack" for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry. What You'll Do You will be owning, strategizing, and developing a large portion of Arize AI's core product roadmap. From ideation to creation, you will be involved in all stages of the product life cycle. You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product. You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production. You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI's main product offering. What We're Looking For 3-5+ years of relevant product management experience or previous AI/ML experience with strong product ownership in an AI-native company Previous engineering and/or tech lead experience Strong track record of building in a technical domain while shipping quickly and efficiently. Willingness to get your hands dirty with code! Experience and/or knowledge of working within machine learning, or data platforms and infrastructure. Experience working directly with customers and promoting community discussions in order to gather client feedback. Experience driving data-informed product strategy into production. Bonus Points, But Not Required Experience in API design Early startup experience Experience working with Figma or similar design tools The estimated annual salary for this role is between $200,000-$250,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . Location: US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be. Advertising is Reddit's primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: Reddit's Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit's Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement. Qualifications: Required: Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research For M.S. holders: 10+ years of industry experience in applied science or data science roles For Ph.D. holders: 6+ years of industry experience in applied science or data science roles Deep understanding of the ads ecosystem Demonstrated expertise in at least one of the following areas: Measurement & Experimentation at Scale (with focus on lift and attribution) Identity Graph Creation & Resolution Methodology and Infrastructure Predictive Modeling with Signal Loss Advanced proficiency in statistical programming (Python or R) and SQL Experience with machine learning or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000-$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

At Arctic Wolf, you won't just watch the cybersecurity industry evolve - you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We're proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape - but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you're looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that's redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We're looking for a Senior Manager, Artificial Intelligence to be part of making that happen. About The Role In this role, you advance that mission by planning and directing the AI development that turns massive volumes of security signal into faster detection and response. This work spans the full range of machine learning and AI solutions, from classical models to fine-tuned language models and agentic systems. You ensure AI initiatives, processes, and deliverables conform to the organization's established policies, quality standards, and objectives. You also work closely with R&D Leadership, Product Management, and the Security Services (S2) organization to build scalable, production-grade AI that customers and analysts need, delivered on time. Senior Managers carry a large scope of leadership and may have multiple managers and/or technical leads reporting to them. The right leader brings specialized subject-matter expertise in the AI domain along with a can-do attitude. They are comfortable working across functional boundaries, partnering with data scientists, platform engineers, threat researchers, and security operations analysts to push complex, ambiguous initiatives over the line. Responsibilities Generates and manages the day-to-day work for their team and is accountable for its outcomes. Partners with the Product team to define and deliver the 6-month AI roadmap and contributes to longer-term planning and strategy with R&D Leadership. Provides direction and clarity, removes obstacles, and leads teams that deliver high-quality, innovative AI solutions alongside architects, developers, data scientists, product managers, CSEs, and support people. Set the direction for applying the right approach to each problem, from classical ML (e.g., clustering, random forests) to deep learning, fine-tuned language models, and agentic systems, in partnership with your technical peers and team members, translating complex security use cases into production-ready initiatives. Partner with Architects and other leadership on the company's technical roadmap, championing secure, observable, and scalable AI systems in cloud-native environments. Oversee the design, training, deployment, and ongoing quality measurement of models and agentic experiences. Drive continuous improvement in engineering and MLOps processes. Uphold secure coding and acceptable-use standards across the full development life cycle. Drive cross-functional initiatives with platform, product, and security operations teams to integrate AI into production, and see that work through to completion. Mentor each team member and help them grow their technical and leadership skills, establishing career development plans and achievable goals. Build collaborative relationships across teams and stakeholders. Lead recruitment for their team and be a key contributor to hiring and recruitment strategy for both full-time and co-op roles. About You Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or an equivalent combination of education and experience. Four years of experience in software, AI/ML, or data science roles (or a Master's degree plus two years), including experience leading technical teams or projects. Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale. Strong expertise in the production delivery of Generative AI or machine learning systems, including training, tuning, and ongoing quality measurement and evaluation (e.g., LLM-as-judge). Experience with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and LLM integration. Experience architecting MLOps processes and tooling for moving models from training to production, including drift monitoring and continuous learning in high-volume pipelines. Familiarity with cloud-native data services (AWS preferred) and data engineering tools (e.g., Spark, Flink, Kafka, Databricks), and with infrastructure-as-code, CI/CD, and DevSecOps principles. Exposure to cybersecurity concepts such as threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling. A can-do attitude, tenacity, and proven ability to work across cross-functional boundaries to drive ambiguous, high-impact initiatives to completion. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (), Best Places to Work - USA (), Great Place to Work - Canada (), Great Place to Work - UK (2024), and Kununu Top Company - Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that-by protecting people's and organizations' sensitive data and seeking to end cyber risk- we get to work in an industry that is fundamental to the greater good. We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here. We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities. All wolves receive compelling compensation and benefits packages, including: Equity for all employees Flexible time off and paid volunteer days RRSP and 401k match Training and career development programs Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services Robust Employee Assistance Program (EAP) with mental health services Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing . Security Requirements Conducts duties and responsibilities in accordance with AWN's Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). Background checks are required for this position. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations ("EAR"). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations. The base salary range for this job family is 118,700 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure . click apply for full job details

About the Team The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, two marketing products offered to merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Principal Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals. You will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and large language models (LLMs). Your work will span query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization, balancing advertiser value, consumer experience, and marketplace health at scale. You will set the long-term technical vision, drive cross-team alignment, and translate cutting-edge research into production systems that operate under strict latency, scale, and reliability constraints. As DoorDash expands into 40+ global markets and new verticals such as Grocery and Retail, this role offers a rare opportunity to define how modern AI, including sequential models and LLM-powered decisioning, reshapes ads relevance in a closed-loop marketplace. About the Role Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding. Rigorously evaluate ML and LLM models using a combination of offline analysis and online experimentation, designing metrics and experiments that clearly measure quality, impact, and tradeoffs. Own the full model lifecycle from research to production, including data analysis, model development, evaluation, offline and online A/B testing, and continuous iteration. Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deliver meaningful, user-facing improvements. Stay at the forefront of ML and AI innovation by assessing emerging research and translating promising approaches into scalable, production-ready systems. This is a high-impact role for someone who enjoys combining economic intuition, large-scale ML modeling, and applied engineering to solve complex real-world optimization problems. You're excited about this opportunity because you will Own impactful ML systems: Build and improve models that directly have a large impact on top and bottom line financials. Collaborate cross-functionally: Partner with engineering, analytics, product, and operations to iterate quickly, moving models from prototype to production Shape the future: We're one of the fastest growing Ads platforms in the world and we're looking to take that even further! We're excited about you because you have 5+ years of experience building, deploying, and scaling ML and AI models for large-scale, user-facing or data-intensive products. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. Deep expertise in one or more of the following areas: deep learning, large language models, information retrieval, ranking and relevance, recommendation systems, natural language processing, or content understanding. Strong programming skills in Python, Java, or C++, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or XGBoost. Extensive experience across the full ML lifecycle, including data analysis, feature engineering, iterative model development, rigorous offline and online evaluation, and ongoing monitoring and improvement. Strong collaborator and communicator who thrives in fast-paced, cross-functional environments. Product-minded and impact-driven, with a passion for applying cutting-edge ML and AI techniques to real-world problems. Bonus Points For Experience designing and deploying LLM-based systems, including prompt engineering and retrieval-augmented generation (RAG) architectures, Generative RecSys. Experience solving large-scale, user-centric and content-centric personalization problems, including user modeling, retrieval, ranking, and relevance. Demonstrated contributions to the ML community through open-source projects, publications, or applied research in areas such as ML, NLP, information retrieval, or related fields. Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $268,600-$395,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals . click apply for full job details

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time. About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure. The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling - with a passion for building platforms that accelerate ML experimentation and deployment at internet scale. You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring - on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc. For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement We're excited if you have BS or MS in Computer Science, Engineering, or a related quantitative field Ability to demonstrate AI tool (Claude, Cursor, ChatGPT etc.) coding efficiency at an advanced skill level 8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems Strong programming skills in Python, and/or Scala, or Java for platform automation and tooling Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS) Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow Strong infrastructure-as-code experience with Terraform or similar tooling Experience with observability platforms such as Prometheus, Grafana, and Datadog Excellent communication and cross-functional collaboration skills Experience in the Advertising domain is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .

Requisition Number: 26897 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $75,866.00 - $90,001.60 Security Clearance: Secret Level of Experience: Mid This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness. HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: Job Description Mission Technologies, a division of Huntington Ingalls Industries, is searching for a qualified candidate to fill the role of Technical Support Specialist - Technical Lead (Tech Lead). The Technical Lead works onsite Navy Warfare Development Center, Norfolk Naval Station supporting Maritime Operation Center - Exercise Support Team (MOC-EST) and Naval Surface Warfare Center- Corona (NSWC-Corona) in providing Navy LVC training throughout all assigned Areas of Responsibility (AORs). The person assists with the planning, design, and execution of Operational-level Fleet Synthetic Training (FST-O) events for Fleet and task force staffs, to include assigned reserve personnel. The position also supports on-site and distributed training events at other Norfolk VA sites, as directed. The Specialist position requires interaction with Military, Government and Contractor Leadership. Communication skills are required. The position requires flexibility to work non-standard work hours and work weeks of more than 40 hours to meet business, customer, and contractual requirements. Essential Job Responsibilities Serve as NSWC-Corona's NITE FST-O technical team lead / Subject Matter Expert (SME) in support of FST-O training events. Communicate with leadership on any technical issues and new requirements. Promulgate and de-conflict resource challenges in support of planning, test, and execution events. Work with Navy Continuous Training Environment (NCTE) local and remote operators and engineers, MOC training teams, and augment personnel to coordinate and plan systems and personnel support for events. Adjust daily working hours occasionally to match times zones around the world where events are occurring. Occasional travel is required in support of event planning conferences. Lead technical team in compliance with NCTE Standard Operating Procedures (SOPs). Recommend changes to SOPs as needed and help to develop new SOPs as fleet training requirements expand. Support event testing and execution of FST-O events as technical lead as directed in approved event manning plans. Maintain and increase capabilities of modeling and simulation tools, in view of current US and foreign military capabilities, trends, and tactics, and US Navy doctrine. Use Confluence and JIRA tools on the NCTE website to share event schedules and documents. Identify, document, report, and track issues, while keeping appropriate NCTE personnel, NSWC- Corona, MOC-EST leadership, and other stakeholders informed of status. Minimum Qualifications 2 years relevant experience with Bachelors in related field or 0 years experience with Masters in related field or High School Diploma or equivalent and 6 years relevant experience. Linux, and/or Microsoft professional certification required. Security+ certification required. U.S. Citizenship required. Must currently hold and be able to maintain a US Top Secret clearance. Familiarity with networking concepts, architectures, and protocols such as TCP/IP and UDP. Knowledge of distributed simulation protocols such as High Level Architecture (HLA) and Distributed Interactive Simulation (DIS). Military experience. Experience with operational level Joint Live Virtual Constructive (JLVC) supported FST events. Technical leadership skills to identify engineering domain issues and engage appropriate engineering personnel. Strong written and verbal communication skills across all organizational levels. Preferred Requirements PMP and Cisco certification desired Understanding of Operational and Tactical Level of Warfare events to include Live, Virtual, and Constructive (LVC). Experience in Navy Fleet Synthetic Training programs, experimentation and war-game operation and management to achieve training objectives. Experience with Joint Exercise Life Cycle (JELC) process, timeline, and products. Understanding of Command, Control, Communications, Computers and Intelligence (C4I) systems and operations. Experience with Joint Semi-Automated Forces (JSAF) simulation and other High Level Architecture / Distributed Interactive Simulation (HLA/DIS) modeling tools. Experience with MS Visio software to produce technical architecture drawings. Physical Requirements Office, industrial, or shipboard environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. Lifting and moving materials may be required. HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k ; financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1- for assistance. Press for HII Mission Technologies.

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model. As a Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IOT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation. This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact - helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win - together. In this role, you will: Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara sensor & product data, and customer metadata. Access, manipulate, and integrate external datasets with internal data. Deliver high-quality data with strong uptime and reliability requirements, including customer-facing data sets. Collaborate closely with cross-functional teams such as Data Science & Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse purposes from causal inference, model training, and dashboarding. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: BA / MS degree in Computer Science, Statistics, or a related discipline. 4+ years experience in a data engineering-focused role. Demonstrated experience in designing data models at scale. Proficiency in building ETL pipelines to handle large volumes of data. Experience with Spark-based data platforms. Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect). Expertise in SQL, Python, and working with REST APIs. Familiarity with software engineering fundamentals and reading backend development code. Experience with version control systems such as Git/GitHub. An ideal candidate also has: Familiarity with time series data and late-arriving data. Knowledge of Databricks, Delta Lakes, and Dagster. Previous experience working in a public cloud (e.g AWS, GCP, Azure). Exposure working on a data model for a product's first-party data. Exposure to complex data, including ML outputs and/or client-side signals. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $99,365-$167,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending For more information regarding fraudulent employment offers, please visit our blog post here.

Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care - monitoring patients, surfacing risks, and coordinating action - so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (, 2025). The Role We're hiring a Staff Data Scientist to define the KPIs, data models, and analytical infrastructure that support Cadence's product, operational, and clinical decisions for our Advanced Primary Care Management business unit. You will partner closely with product management, operations, care delivery, and customer success to build a scalable analytics roadmap and translate complex data - including patient vitals, EHR records, and clinical outcomes - into insights that drive strategy. This role sits at the center of how Cadence measures and improves care delivery at scale. What You'll Do Own the analytical strategy for Cadence's digital primary care program end-to-end by defining what outcomes and KPIs matter, diagnosing ambiguous operational and clinical problems, and serving as the primary thought partner to clinical and operational leadership; exploring patient vitals, EHR data, and clinician-generated data to surface insights that close care gaps, drive better outcomes, and inform program strategy. Define and communicate outcome frameworks for AI-powered primary care, translating clinical and operational performance into clear, credible narratives for external partners including health systems and payers, and serving as the analytical voice in those conversations. Design and build core data models in dbt from the ground up, establishing canonical metric definitions, data collection standards, and the structural foundation that the broader team relies on; maintain the modern data stack (Snowflake, Fivetran, dbt) to keep infrastructure accurate, well-documented, and built to scale. Deliver advanced analytics across the full stack from pipeline construction and data engineering to predictive modeling, staffing and capacity forecasting, and revenue modeling in partnership with operations and executive leadership. Build and maintain reports and dashboards that monitor growth, engagement, clinical outcomes, and Cadence's demonstrated value to patients and health system partners with metrics that are trustworthy and tied to decisions. Embed AI meaningfully into the analytics function by identifying high-value use cases, building reusable workflows and automation, and leading adoption of LLM-assisted tools that reduce manual overhead and expand what the team can produce. What You Need 9+ years of experience working with SQL or other data querying languages, with hands-on experience building and maintaining analytics, reporting, and dashboarding solutions. Proficiency with modern data stack tools such as Snowflake, Fivetran, and dbt, or equivalent technologies. Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field, or equivalent practical experience. Practical knowledge of statistics and data analysis techniques, with the ability to translate findings clearly for both technical and non-technical stakeholders. Experience working with clinical or health data - including patient vitals, EHR records, or outcomes data - and familiarity with the data structures and sensitivity considerations that come with it. Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production and the ability to communicate how AI-powered care models work to clinical, operational, and external partner audiences Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $190,000 - $230,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.

Job Description: VP, DATA SCIENCE - GenAI Technology Note: Fidelity will not provide immigration sponsorship for this position The Role This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team. You will have: PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience. Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding; emphasis on putting (or working with) LLM-based applications in production Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools Experience taking an application from research to production and realizing measurable value from it to the team or firm Ability to work on and drive progress for multiple projects or initiatives at the same time Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results Excellent planning, project management, communication, leadership, and research skills Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges The Team We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML and LLM-based solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from the exploratory phase all the way to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models in a rapidly evolving space. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Data Analytics and Insights

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Data and Solution Architect is responsible for defining, governing, and advancing the enterprise data architecture required to enable scalable, trusted, and responsible AI solutions in the AI Hub. This role ensures that data platforms, models, standards, and semantic structures are designed to support AI/ML, Generative AI, Agentic AI, experimentation (POCs), and production deployment, while aligning with enterprise data governance, security, and compliance requirements. Key Accountabilities AI Ready Data Architecture & Design Lead the design of logical, physical, and semantic data architectures to support AI, advanced analytics, GenAI and Agentic AI use cases Define AI ready data models, feature oriented structures, and analytics ready data assets aligned to enterprise data platforms Ensure architectural alignment between data platforms, AI tooling, and MLOps pipelines Support design and governance of the Foundry Ontology layer as the enterprise semantic backbone for AI use cases Data Standards, Governance & Semantics Work closely with Data Architecture and Governance teams, define and enforce data standards, metadata practices, naming conventions, and master/reference data patterns for AI use cases Establish and maintain semantic consistency (business definitions, critical data elements, feature definitions) to enable explainable and reusable AI Partner with Data Governance, Legal, and Compliance teams to ensure responsible and compliant AI data usage AI Use Case Enablement & POC Support Architect data flows and patterns supporting AI POCs, experimentation environments, and sandbox platforms Guide data sourcing, profiling, and readiness activities for AI Data Scientists, Data and AI Engineers Own the data architecture stage-gate process across POC, expanded pilot, and production phases; define and maintain AI-readiness scorecards to assess data asset maturity at each stage Data Platform, Integration and Solution Architecture Architect integrations across source systems, data platforms, analytics tools, and AI services Evaluate and onboard new data sources and technologies to meet evolving AI requirements Define reference architecture and architectural guardrails for cloud, hybrid, and global deployments Lead/support solution architecture development for projects/products, where necessary Collaboration, Review & Enablement Serve as a data and solution architecture authority for AI related initiatives and design reviews Mentor junior architects, data engineers and provide architectural guidance to delivery teams Contribute to AI Hub (COE), communities of practice, standards bodies, and architecture review forums Qualifications, Experience, and Skills Bachelor's degree in Computer Science, Information Systems, Data Engineering/ Data Science, or related field 8+ years of experience in data architecture, solution architecture, enterprise data platforms, or analytics architecture Demonstrated experience supporting AI/ML, advanced analytics, or data driven product initiatives Experience operating in federated governance or hub and spoke operating models Experience with data profiling and data quality management Workstyle This is an onsite job. One remote workday per week, may be possible with prior departmental approval. Visa sponsorship issues This position is not eligible for work visa sponsorship What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Audio DSP/ML Engineer - Audio Technology We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware. Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose! Responsibilities: Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data. Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field. Hands-on experience with machine learning applied to audio or time-series data. Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis). Experience with Python and/or MATLAB for research and prototyping. Solid understanding of audio systems and acoustics. Strong communication skills. Preferred Qualifications: MS or PhD in a relevant technical field. Deep practical knowledge of: Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++. Experience with speech or audio ML tasks, such as: Audio source separation / speech enhancement Echo reduction Microphone array signal processing Strong software engineering practices (debugging, profiling, version control). Proficiency in C and/or C++ for performance-critical systems. Publications, patents, or demonstrated innovation in DSP or ML. What success looks like: You deliver robust, high-quality audio algorithms that work reliably in real-world conditions. You balance audio quality, ML performance, and system constraints effectively. You influence product direction through technical insight and data-driven decisions. Your work ships as both licensed audio technology at scale. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $216,000-$297,000.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Audio DSP/ML Engineer - Audio Technology We are seeking a Principal Audio DSP / Machine Learning Applied Scientist to invent, develop, and productize advanced audio technologies. In this role, you will combine signal processing, machine learning, and systems engineering to deliver high-quality audio solutions for real-world consumer devices. You will work across the full pipeline-from algorithm research and deployment to optimized, real-time deployment on production hardware. Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose! Responsibilities: Design and develop audio signal processing and machine learning algorithms for speech and audio applications such as noise suppression, echo cancellation, beamforming, spatial audio, and audio enhancement Apply primarily modern ML/deep learning approaches augmented by classical DSP techniques to audio and time-series data. Investigate new modeling approaches and translate research ideas into practical, scalable solutions that will be experienced by millions of consumers. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or related field. Hands-on experience with machine learning applied to audio or time-series data. Strong fundamentals in digital signal processing (sampling, filtering, FFTs, spectral analysis). Experience with Python and/or MATLAB for research and prototyping. Solid understanding of audio systems and acoustics. Strong communication skills. Preferred Qualifications: MS or PhD in a relevant technical field. Deep practical knowledge of: Applied ML frameworks such as PyTorch/ONNX and/or TensorFlow/TFLite. Audio DSP (sampling, filtering, FFTs, spectral analysis) using tools such as Python, Matlab and/or C/C++. Experience with speech or audio ML tasks, such as: Audio source separation / speech enhancement Echo reduction Microphone array signal processing Strong software engineering practices (debugging, profiling, version control). Proficiency in C and/or C++ for performance-critical systems. Publications, patents, or demonstrated innovation in DSP or ML. What success looks like: You deliver robust, high-quality audio algorithms that work reliably in real-world conditions. You balance audio quality, ML performance, and system constraints effectively. You influence product direction through technical insight and data-driven decisions. Your work ships as both licensed audio technology at scale. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $216,000-$297,000.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Job Description Penguin Random House publishes more of the books people love than anyone else in the world and the Data Science team helps those books find their readers: recommendation systems that surface the right book for the right person, forecasting models that guide print runs and marketing spend, and AI-powered tools that support our publishing teams. We're hiring a Senior AI Solutions Engineer to build the systems behind this next wave of AI work for improving operations: agentic applications, LLM-powered services, and the interfaces (e.g. MCP servers) that connect AI models and assistants to our internal data and tools. You'll work at the intersection of a world-class publishing business and the modern AI stack, and you'll own what you build all the way to production. Specific responsibilities include: Design, build, and operate LLM-powered applications and services (e.g. agentic workflows, retrieval/RAG systems, classification pipelines) over our catalog, sales, and operational data Stand up and maintain MCP servers and tool integrations that connect AI models and assistants to our internal data and systems safely and reliably Own services end-to-end: architecture, implementation, deployment, evaluation, and monitoring in our AWS/Databricks environment Evaluate emerging AI tooling and patterns (agent frameworks, MCP, evaluation harnesses, new model capabilities), run structured pilots, and lead adoption of what works Raise the team's AI engineering capability: run working sessions and internal demos, pair program with scientists, and build internal tools to help accelerate AI usage across the team. Qualifications 3+ years building and shipping production-quality software, including hands-on work with machine learning or AI systems that include the following preferred qualifications: Experience standing up MCP servers or comparable tool-integration layers for AI assistants Experience with cloud ML platforms (AWS, Databricks), model APIs (Bedrock, Anthropic, OpenAI), and vector databases Advanced degree (MS/PhD) in computer science, machine learning, or a related quantitative field Experience applying AI/ML to commercial problems such as demand forecasting, pricing, sales and marketing optimization, recommendation, or search Background in media, publishing, or other content-rich domains Demonstrated fluency with the current LLM stack: retrieval-augmented generation, embeddings, prompt engineering, agentic patterns, and rigorous evaluation of generative systems Strong Python engineering skills with experience in version control, testing, and CI Self-motivated, with strong communication skills and a demonstrated ability to teach and level up teammates. Additional Information The salary range for this position is $180,000 to $220,000. All positions are currently eligible for annual profit award or bonus, subject to Company results. Applications for this role will be accepted through October 8, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review ou r applicant resources page and our FAQs page. Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. All your information will be kept confidential according to EEO guidelines. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. All your information will be kept confidential according to EEO guidelines. Recruiting-Platform powered by SmartRecruiters .

About BlueLabs BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach. About the team The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams. Our team is often called to answer questions like: What are the meaningful messaging takeaways from a survey of industry elites for a major corporation to consider in their paid communication? What political trends should a campaign be aware of, and what are the different pathways to victory? How do we present our models, calculators, and reports, so our partners get the information they need? About the role: As part of the Insights at BlueLabs, you'll be working with a group of analysts and data scientists who work across BlueLabs' client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. This position requires a mix of analysis and data management as well as client presentation and communication. You'll be responsible for hard analysis as well as putting together the data infrastructure, reports, and calculators that will power our solutions as well as creating the client-facing materials that summarize those findings. Analysts at BlueLabs are the ones with the best understanding of the nuances of a client's data and our solutions. They can execute on the perfect solution but can also discover the answer that gets us 95% of the way there is a quicker and more efficient way. Some of our work is templated, but our team excels when they come up with creative solutions to the problems. This will require creating new calculators or analyzing existing outputs in a new light. Some examples of projects you might work on: Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people. Mentor analysts or fellows and support their growth and development Such other reasonable tasks may be assigned by management. Tools of the Trade We work closely with our data science team, so you'll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software We use an array of business intelligence tools to visualize our findings. Members of our team have different strengths such as GIS or Tableau so we look for some experience using such tools We're only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job What we are seeking: You likely have at least a bachelor's degree in a related field with a statistical background or at least 2+ years of experience analyzing data and building reports You are passionate about harnessing data-driven solutions to improve social outcomes You're eager to learn techniques in data management, analysis, and visualization You can recognize patterns and are careful to check assumptions whether they are your own or someone else's You have excellent attention to detail and a keen eye for design Your experience manipulating data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended You've created reports and worked with data visualization and business intelligence tools You've created maps with GIS data and used software such as QGIS or ArcGIS You have experience with programming languages such as Python and SQL You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote) What Recruitment Looks Like: The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied. We often look for explanations of "how or why" so it's helpful to have details ready. What We Offer: BlueLabs offers a friendly work environment and competitive compensation and benefits package including: Salary: $85,000 Premier health, dental, and vision insurance plans 401K matching Unlimited paid time off Paid personal and volunteer leave 13 paid holidays 15 weeks paid parental leave Professional development stipend & tuition reimbursement Macbook Pro laptop & tech accessories Bring Your Own Device (BYOD) stipend for mobile device Employee Assistance Program (EAP) Supportive & collaborative culture Flexible working hours Remote friendly (within the U.S.) Pre-tax transportation options for commuting to our office in Washington, DC Lunches and snacks And more! The salary range for candidates who meet the minimum posted qualifications reflects the Company's good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting. At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. BlueLabs endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations. BlueLabs participates in E-verify. Collection of Personal Information Notice: As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

Who we are At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit What we are building Domino is the platform enterprises trust when the stakes on AI are highest. Global pharma running drug-discovery pipelines, top-five insurers underwriting billion-dollar risk, defense and intelligence agencies retraining mission-critical systems. Every model has to be auditable, defensible and reproducible from the day it's built. This is why Gartner has recognised us three times in the Enterprise Data Science & ML Platforms category. Frontier models have unlocked a new class of AI applications regulated companies couldn't previously ship - the governance, auditability and control primitives weren't there. Domino is building that layer. As a technical Product Manager, you'll own capabilities within it and shape the next chapter of what regulated enterprise AI looks like. What your impact will be Advance our Governance feature set - embedding model validation, review and audit-readiness directly into the development lifecycle, including automated model documentation and modern takes on longstanding requirements like attestation and revalidation. Shape the Extensions framework, a new product surface for embedding custom capabilities into the platform: model risk management, onboarding, inventory, and audit-ready documentation. Lead the next generation of AI/ML lifecycle capabilities, with a specific focus on generative AI and advanced AI systems. Strengthen how customers deploy, host, secure and administer Domino across SaaS and customer-managed environments. Partner directly with customer executives - up to and including CIOs, CTOs and Chief Data Officers at Fortune 100 companies - to turn their hardest operational-AI problems into product decisions. What we look for in this role This role is for builders. We're looking for PMs who default to shipping, who can carry a technical conversation on their own merit, and whose past work stands up to engineering scrutiny. 5+ years of product management experience shipping enterprise software to developers, ML engineers, quantitative researchers, data scientists or similar practitioners - users who write code as their primary interface with the product. Non-negotiable. Strong technical background - computer science or an equivalent discipline - and a track record of solving hard product problems where the difficulty is intrinsic, not superficial. You operate as a peer in system design conversations, not a translator. Customer-first instincts. You've owned enterprise customer relationships in prior roles and are comfortable running product conversations inside large, politically complex organisations. You listen carefully, read a stakeholder map, and turn what customers actually need into product decisions. Execution-focused. You want to join at an inflection point, not a steady state - at your best when synthesising customer signal, market direction and technical constraint into bets that ship. Bonus: hands-on familiarity with data science / AI workflows, or experience shipping product into regulated environments. What we value We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success We believe in individuals who seek truth and speak the truth and can be their whole selves at work. We value all of you that believe improving is always possible. At Domino, everything is a work in progress - we can do better at everything. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. Visa Sponsorship: Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status. The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $225,000-$300,000 USD