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Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility. What we need Symbotic is seeking a System Engineer to support the day-to-day reliability, availability, and performance of our automated warehouse systems in a live production environment. This role is hands-on and operational in nature, aligned closely with a Maintenance Engineer or Lead Automation Technician profile. The System Engineer focuses on troubleshooting, maintaining , and stabilizing complex electro-mechanical and automated systems to ensure safe, consistent system uptime. This role is not commissioning-focused, not controls -programming-heavy, and not customer-facing, but instead centered on system health, equipment reliability, and technical execution on site What we do The System Engineer is part of the Customer Operations organization which is responsible for leading the day-to-day operations of Symbotic's robotic material handling system. The Customer Operations organization drives operational excellence by engaging and partnering with our onsite customers to drive best-in-class quality, safety and system performance. What you'll do Monitor and maintain the health of automated systems including conveyors, lifts, robotic vehicles, motors, sensors, and PLC-controlled equipment . Perform advanced electrical, mechanical, and automation troubleshooting to resolve production-impacting issues . Diagnose failures across PLCs (Allen-Bradley), VFDs, AC/DC motors, servo motors, sensors, and control hardware . Support and execute preventive and corrective maintenance activities on automated equipment . Utilize system data, alarms, logs, and dashboards to identify fault conditions and recurring issues . Document maintenance activities, repairs, and findings using CMMS systems (e.g., Maximo) and internal tools . Act as a senior technical escalation point during system disruptions or downtime events . Partner with on-site maintenance, operations, and technical teams to restore and stabilize system performance . Provide technical guidance and on-the-job support to maintenance technicians and operators . Step in to support critical on-site technical functions as needed to maintain operational continuity . Ensure compliance with OSHA, LOTO, electrical safety, and Symbotic safety standards . What you'll need Bachelor's degree in Electrical Engineering , Computer Science, Software Engineering, Automation Engineering, or a related field, or equivalent hands-on experience . Minimum of 1 year of hands-on experience with PLCs, preferably Allen-Bradley, focused on diagnostics and troubleshooting (not heavy programming) . Minimum of 1 year of experien ce with VFDs, including diagnosing speed, torque, and drive-related issues . Minimum of 1 year of experience working with AC and DC motors . Hands-on experience with automated systems such as conveyor systems, conveyor belts, vertical lifts, and motor-driven equipment . Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS, robotics, servo motors, or 480V systems . Working knowledge of SQL, Python, and Linux for diagnostics, log review, and system interaction . Strong hands-on experience assembling, operating , maintaining, and troubleshooting robotics and electro-mechanical systems . Prior experience in maintenance engineering, automation maintenance, or lead maintenance technician roles preferred . Our Environment Work is performed in an active industrial environment with high levels of automation . Ability to work at heights of up to 45 feet and within confined spaces . Ability to lift and/or move up to 50 pounds . Exposure to varying temperatures and production conditions . Must comply with all PPE, LOTO, fall protection, and electrical safety requirements . Ability to work flexible hours, including off-shifts , as needed to support system uptime and recovery . Valid driver's license required . About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit . We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Machine Learning Engineer, Core Engineering Join to apply for the Machine Learning Engineer, Core Engineering role at Pinterest Machine Learning Engineer, Core Engineering Join to apply for the Machine Learning Engineer, Core Engineering role at Pinterest Get AI-powered advice on this job and more exclusive features. About Pinterest Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. About Pinterest Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What You'll Do Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What We're Looking For 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Nice to have: M.S. or PhD in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $129,818-$267,272 USD Our Commitment To Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesTechnology, Information and Internet, Software Development, and IT Services and IT Consulting Referrals increase your chances of interviewing at Pinterest by 2x Sign in to set job alerts for "Machine Learning Engineer" roles.Software Engineer - AI Training (Freelance, Remote)Software Engineer, Python - AI Training (Freelance, Remote)Software Engineer, HTML - AI Training (Freelance, Remote)Software Engineer, SQL - AI Training (Freelance, Remote) San Francisco, CA $140,000.00-$195,000.00 1 month ago Software Engineer, Handlebars - AI Training (Freelance, Remote)Software Engineer, LPC - AI Training (Freelance, Remote)Software Engineer, Shell - AI Training (Freelance, Remote) San Francisco, CA $151,000.00-$190,000.00 1 month ago Software Engineer, Zig - AI Training (Freelance, Remote)Machine Learning Scientist (Staff / Sr Staff) - Power MarketsSoftware Engineer, Bash - AI Training (Freelance, Remote) San Francisco, CA $220,000.00-$258,000.00 2 days ago San Francisco, CA $175,000.00-$250,000.00 3 weeks ago San Francisco, CA $185,000.00-$285,000.00 3 days ago We're unlocking community knowledge in a new way. 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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. Annual Compensation Range $230,000 - $290,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We believe representation is important and strive for diverse perspectives on our team. Safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. Legitimate recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. We value impact-advancing our long-term goals of steerable, trustworthy AI-over smaller projects. We view AI research as an empirical science, akin to physics and biology. We are a collaborative group that hosts frequent discussions to pursue high-impact work and value communication skills. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues. Guidance on candidates' AI usage: Learn about our policy for using AI in our application process. As set forth in Anthropic's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Our team is passionate about solving big challenges in healthcare and transforming the field of pathology with artificial intelligence. Staff Site Reliability Engineer - Data pero Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drugéricas sviluppo, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment. What You'll Do If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way: Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. Designing, building, and operating our data center to support our rapidly growing Machine Learning team. Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Improving the reliability and resilience_Intensive of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. Participating in platform on-call rotations and assisting with urgent incident response. What You Bring Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need: 8+ years of relevant experience. Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang). You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus). You've worked with infrastructure as code (Terraform/Cloudformation). You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems). You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS). Familiarity with modern network designs and comfort operating across network layers. Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/K residuos). Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges. A bachelor's degree in Computer Science or equivalent experience. An insatiable intellectual curiosity and the ability to learn quickly in a complex space. Travel: Willingness to travel up to 25% of the time. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be"We Want To Hear From You" exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay ,and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.

Senior Product Manager, Drone Hardware Platforms & Sensors San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the Role As a Senior Product Manager for Drone Hardware Platforms & Sensors, you will work closely with our customers and our hardware and embedded software engineering teams to help define and shape Skydio's current and next-gen drone platforms, controllers, cameras, and accessories ecosystem. You'll ensure that we are building and delivering the right products to solve the most important problems across enterprise, government, and public safety. This is an incredible opportunity to have an outsized impact in service of our customers. Location This position is based onsite 5 days/week at our HQ in San Mateo, CA, with 25% travel. We offer relocation assistance if needed. How you'll make an impact Help shape our overall vehicle and hardware strategy in collaboration with our CEO and engineering executives, including the development of new hardware products, including new vehicle form factors. Engage with customers, prospects, and internal stakeholders to understand core business problems and develop visions and strategies to solve them. Draw upon direct customer experiences and ride-alongs as well as usage analytics to solve the most important and impactful problems for our customers. Continually develop, own, and publish product requirement documents and roadmaps for Skydio's vehicle hardware, controllers, cameras/sensors and embedded software. Partner with designers and engineering leaders spanning hardware, firmware, computer vision, AI, and machine learning to execute your product vision and requirements. Capture, document, and distill feedback from customers and prospects to steer product development. Collaborate closely with sales and customer success to build and maintain close customer relationships and ensure success. Partner with product marketing to develop launch plans, product positioning and messaging to bring your products to market. What would make you a strong fit 5+ years of proven success in defining and delivering complex hardware products with integrated software. Deep technical understanding of IoT or camera/sensors product technologies. Experience launching robust hardware products for Enterprise, Public Safety or Defense Customers. Detail-oriented with exceptional written and oral communication skills. Direct or indirect experience with engineering that allows you to actively participate in deep discussions with engineers on complex technical architecture challenges and tradeoffs. Highly facilitative team player who strives to enable others to do their best work. A passion for speaking with and learning from customers. A background in electrical engineering, mechanical engineering, or computer science. An advanced degree or an MBA would be a plus, but is not required. Background experience in utilities, public safety or federal (ISR) workflows Experience with enterprise/professional robotics or drones Expertise in camera interfaces, either in photography, videography, and/or for drone cameras Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $150,000 - $190,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit

Job Requisition ID # 26WD94931 Senior Principal Data Engineer Position Overview At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You'll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk's business processes. As we collaborate across departments, you'll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk's approach for data-driven decision-making processes. What We're Looking For Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data. Data platform, ETL tools, AI and ML tools and strategy etc. Leadership and Collaboration: Proven ability to lead global teams and work effectively across diverse groups. Passion for Innovation: A creative professional with a passion for transforming data into actionable business insights. At Autodesk, we empower you to shape the future and Make Anything possible. If you're driven by the power of data and excited to lead transformative initiatives, we invite you to join our team. Location: San Francisco, United States. Responsibilities Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals. Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams. Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments. Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement. Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation. Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity. Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability. Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale. Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact. Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads. Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear. Business domain experience in subscription and consumption business models. Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions. Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc. Minimum Qualifications BS or higher in computer science or related technical discipline. 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems. Excellent problem-solving and troubleshooting skills and make sound architectural decisions. Broader knowledge in software architecture concepts. Deep knowledge and experience with data architecture and data platform designs. Deep knowledge and experience in data modeling, entity relationship and query analysis optimization. Deep expertise in Python, Snowflake, SQL and DBT. Real hands on project experience with these skills is a must. Expert in using AWS. Real hands on project experience with these skills is a must. Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution. Experiences designing and building data science and ML models for generating business insights from enterprise system data. Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs. Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly. Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams. Excellent interpersonal, communication and presentation skills both verbally and written. Rich experience in mentoring and coaching other developers is a must. Deep knowledge and experience of working in Agile process is needed. Embrace changes and can work under pressure. Willing to take challenges and stretch comfortable zone with growth mindset. Preferred Qualifications Rich hands on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus. Rich domains knowledge in GTM business models and process is a plus. Rich domains knowledge on data architecture and data model is preferred. Experience building and delivering Gen AI capabilities or solution is a strong plus. Deep knowledge and experience in data science and machine learning are preferred. About Autodesk Autodesk, Inc. (NASDAQ: ADSK) is at the forefront of innovation, creating software that empowers people to transform ideas into reality. As a global leader, our design and make software revolutionizes the architecture, engineering, construction, manufacturing, and media and entertainment industries. Whether it's crafting high-performance cars, constructing towering skyscrapers, developing cutting-edge smartphones, or producing blockbuster films, millions of creators rely on Autodesk products to turn their visions into tangible results. Our solutions enable you to shape the future and Make Anything possible. Embrace the future of making things with Autodesk, where groundbreaking changes in design, manufacturing, and usage are happening every day. Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $147,600 and $238,700. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

21 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. The role involves developing and deploying models for Piai, focusing on machine learning, natural language processing, and generative AI, while collaborating with a diverse team to improve justice outcomes for clients. Responsibilities Model research & prototyping - Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Data preparation & feature engineering - Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders. Experimentation workflow - Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams. Productionization - Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling. Cross-functional collaboration - Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements. Continuous learning - Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. Qualification Required Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization) Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs) Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks) Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup Clear, concise communication-both written and verbal Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions Preferred exposure to cloud platforms (AWS/GCP) experiment-tracking tools (Weights & Biases, MLflow) Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $140,000.00-$180,000.00 5 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 8 months ago San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $88,000.00-$140,000.00 3 weeks ago Machine Learning Engineer, Identity Product San Francisco, CA $160,000.00-$180,000.00 4 days ago San Francisco, CA $140,000.00-$200,000.00 6 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago San Francisco, CA $180,000.00-$270,000.00 3 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

Join to apply for the Senior Data Scientist role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Senior Data Scientist role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a founding Data Scientist on the Strategic Finance Data Science team, you will design and implement critical models and analyses to support strategic decision-making and resource allocation across the organization. Responsibilities: • Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. • Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. • Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. • Automate standardized reporting and analysis by building data products or agentic solutions. • Support product pricing and other business decisions with ad hoc analysis. • Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. • Manage and lead cross-functional data science projects end-to-end. Qualifications: Required: • MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. • Proficiency in Python, SQL, Tableau, and other analytical tools. • Strong analytical skills and experience working with large, complex data sets. • Proven ability to distill complex data into actionable insights for leadership. • Ability to independently initiate and complete projects, owning them end-to-end. • Excellent communication and storytelling skills when presenting data insights. • Exceptional attention to detail and a commitment to accuracy. Preferred: • You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. • You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. • You're passionate about technology and artificial intelligence. • You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. Company: OpenAI creates artificial intelligence technologies to assist with tasks and provide support for human activities. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. OpenAI has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in San Francisco, CA . San Francisco, CA $140,000.00-$170,000.00 3 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $121,900.00-$161,600.00 4 days ago San Francisco, CA $150,000.00-$160,000.00 2 weeks ago San Francisco, CA $255,000.00-$405,000.00 3 days ago San Francisco, CA $122,000.00-$167,000.00 5 days ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $190,000.00-$230,000.00 3 weeks ago San Francisco, CA $144,000.00-$192,000.00 3 weeks ago San Francisco, CA $85,000.00-$120,000.00 3 hours ago South San Francisco, CA $54.00-$97.00 2 weeks ago San Bruno, CA $119,000.00-$169,000.00 2 months ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Data Scientist II - Experimentation & Measurement San Mateo, CA $153,300.00-$229,900.00 2 weeks ago San Francisco, CA $149,998.00-$250,000.00 6 days ago San Francisco County, CA $180,000.00-$250,000. hours ago San Francisco, CA $90,000.00-$150,000.00 1 month ago San Francisco, CA $152,000.00-$190,000.00 2 weeks ago San Francisco, CA $100,000.00-$200,000.00 7 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Location: Remote US Employment Type: Full time Location Type: Remote Department: TechEngineering Compensation $150K - $170K Offers Equity The base salary & equity offered for this position will depend on several factors, including location, experience, qualifications and business needs which are assessed during the interview process. Who We Are At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person's journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. About The Role As part of our Government pod, you'll help deliver TwelveLabs' video-language models (Pegasus and Marengo) and our indexing and agentic platform into highly protected GovCloud or fully air-gapped deployments. The work blends deep engineering with security and compliance: designing to the FedRAMP and Department of Defense Cloud Security Requirements Guide (DoD SRG) Impact Levels. You'll build for constrained networks & hardware, rigorous supply-chain practices, and high-reliability operations. This role requires eligibility for a US security clearance; active clearances are a plus. We're looking for a Full Stack Engineer with strong backend expertise and solid frontend skills to join our team. You'll play a key role in designing, building, and scaling systems that power our platform end-to-end - from robust APIs and data pipelines to intuitive user interfaces. In this role, you will Backend Systems & APIs: Design and implement scalable RESTful APIs (OpenAPI-compliant) that power features such as indexing, search and video analysis, integrating with model inference pipelines. System Architecture: Architect and optimize high-throughput, service-oriented backend systems for enterprise-grade SaaS to ensure low latency, high availability, and scalability. Frontend Development: Design and develop responsive, high-performance frontend applications using modern frameworks (React, Next.js), ensuring seamless integration with backend services. Cross-Functional Collaboration: Partner with Machine Learning engineers, Infrastructure Engineers and Forward Deployed Engineers to deliver end-to-end solutions, ensuring smooth integration between backend systems, AI pipelines, and user interfaces. Quality & Standards: Drive adherence to coding standards, best practices, and optimization techniques across the stack, delivering high-quality, reliable, and maintainable systems. Required Experience You may be a good fit if you have: 6+ years of professional full stack software engineering experience building applications and tools for government customers, with features such as auditable workflows, secure authentication, and role-based access controls. Backend: Deep knowledge of service-oriented architecture (SOA), RESTful APIs, microservices, and distributed systems. Strong understanding of scalable database design (relational and NoSQL). Frontend: Experience with modern frontend frameworks, including React, Next.js, React Query, and TypeScript. Experience building responsive UIs using CSS frameworks (Tailwind) and component libraries (Material UI). Infra: Familiar with Docker, Kubernetes, and infrastructure scaling. Exposure to IaC tools (ex. Terraform), and observability tools (ex. Prometheus, Grafana). Government & Security-Specific Expertise: Experience deploying with GovCloud or air-gapped environments. Familiarity with RBAC, LDAP, and government SSO standards. Eligibility for U.S. Security Clearance. Collaboration & Mindset Strong analytical, problem-solving, and first-principles thinking for tackling complex technical challenges. Exceptional communication skills, able to clearly articulate technical concepts to technical and non-technical stakeholders. Thrives in agile, fast-paced environments, demonstrating adaptability, resilience, and a strong ownership mindset. Preferred Qualifications Active Government Security Clearance Hands-on experience with video technologies (FFmpeg, AWS Media Services) and integrating backend systems with AI/ML pipelines for video analysis (e.g., object detection, motion tracking, summarization). Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility. Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. Benefits And Perks ? An open and inclusive culture and work environment. Work closely with a collaborative, mission-driven team on cutting-edge AI technology. ? Full health, dental, and vision benefits. ️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. ? VISA support (such as H1B and OPT transfer for US employees).

Job Title Principal Data Scientist Company Capital One Location McLean, VA Job Description As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Responsibilities Partner with a cross functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Ideal Candidate Customer first - you love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Creative - you thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical - you're comfortable with open source languages and are passionate about developing further. You have hands on experience developing data science solutions using open source tools and cloud computing platforms. A data guru - "big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics. A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics. A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field). Preferred Qualifications Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics). At least 1 year of experience working with AWS. At least 3 years' experience in Python, Scala, or R. At least 3 years' experience with machine learning. At least 3 years' experience with SQL. Salary McLean, VA: $158,600 - $181,000 per year. Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well being. Learn more at the Employment Eligibility Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Equal Opportunity Employer Statement Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

Location San Francisco Employment Type Full time Location Type On-site Department Tech Engineering Compensation $247.8K - $297.6K At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate's skills, capabilities, and location, as well as scope of the role. The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs, etc. About Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role We're looking for a seasoned machine learning engineer specializing in AI to join our team. You will be a technical leader in helping us build a world class AI tools for companies to measure and reduce their carbon emissions. You'll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay the technical foundations for AI at Watershed. In this role you will: Prototype, develop and iterate on new product areas for Watershed, giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data Collaborate with product and other AI engineering teams to set product and technical strategy Build evals, fine tune, create agent harnesses to build reliable AI powered systems Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed Write performant, well-crafted, tested, and maintainable code across our technical stack You might be a good fit if you have: 8+ years of experience in Machine Learning / AI engineering Experience building products using LLMs, embeddings and other ML technologies Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies Experience leading cross functional teams in an innovative fast moving environment A strong foundational understanding of machine learning models and practice, including model evaluation and performance Strong full-stack development skills Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What's the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter. Compensation Range: $247.8K - $297.6K

Overview About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. Grow with us About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. We are seeking an experienced and motivated Senior Product Manager to define and execute the product strategy for AI-driven solutions within our cloud management platform (NetCloud), with a focus on Private 5G and enterprise wireless use cases. This role is part of a team responsible for introducing and accelerating new technology adoption and delivering high-value capabilities that solve operational challenges for customers. Why Join Us? This is a high-impact, high-visibility role at the intersection of three transformative technologies today: AI, Cloud, and Wireless. You will have the opportunity to shape a growing product category and directly enable business transformation of top-tier global enterprises. What You Will Do Product Strategy & Vision: Define the strategic roadmap and product vision for leveraging AI/ML to enhance the management, orchestration, monitoring, and optimization of private 5G networks and other enterprise wireless/networking infrastructure within the cloud platform. Customer & Market Insight: Deeply understand the challenges faced by network operators, IT teams, and developers managing private 5G and enterprise edge infrastructure. Conduct competitive analysis and market research to identify opportunities for differentiation through AI. Feature Definition & Execution: Translate market needs and technical possibilities into detailed product requirements and acceptance criteria. Prioritize the backlog to maximize customer value and business impact. Go-to-Market (GTM) Strategy: Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features. Cross-Functional Leadership: Serve as the product owner, working with Engineering, Data Science, UX/UI, Architecture, Compliance/Legal, and other teams to guide the entire product lifecycle from ideation to launch and iteration. Technical Translator: Act as the bridge between cutting-edge AI research/engineering and customer-facing product value, ensuring AI models and data pipelines are integrated into the product in a meaningful, scalable, cost-effective, and secure way. Business Performance: Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success. The Skills You Bring 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services. Communication & Influence: Exceptional written and verbal communication skills, including the ability to articulate strategic vision cross-functionally, clarify technical nuance and implementation requirements with R&D, and translate technical concepts to a non-technical audience (executives, sales, customers). This is the single most important skill for this job. Please acknowledge this emphasis. Very strong communication skills are essential. Deep Expertise in Enterprise Networking/Wireless: Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches. Specific experience with Private 5G or enterprise LTE is a significant plus. Experience with AI/ML Products: Proven track record of defining and launching products or features that rely on machine learning, predictive analytics, or large-scale data processing (e.g., AIOps, predictive maintenance, resource optimization). Cloud Platform Experience: Familiarity with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, cloud-native infrastructure). Technical Acumen: Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures. Education: Bachelor's degree, preferably in an area of technical competence (Computer Science, Engineering, Data Science, etc). An Advanced degree or MBA is a plus. Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at . DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) Boise (ID) (Country/ City) Job details: Product Portfolio Management Compensation And Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Santa Clara CA, New York, NJ, DC: $126,400-165,900. Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply. Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution. For California employees, we offer a subsidized HMO option through Kaiser. Ericsson Enterprise Wireless Solutions also offers subsidized dental and vision coverage. Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.

Join to apply for the Sr. Manager, Security Product Research role at Corelight. Do you want to help make the world safe from cyber attack? At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can't avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats. We are building a world class and uniquely targeted team to drive security product research through rapid prototyping and testing. The ideal candidate will use their strong analytical skills and awareness of network and cloud security data to drive novel, fast, and effective security product prototypes using the latest technology. Corelight is uniquely positioned to forge the path for network detection and response, you will have the opportunity to contribute to this future through the expansive bounds of this position. You will be able to look back a year from now and say two things with pride: first, "I helped to build that." and second, "We are generating insights that no one else in the world has achieved." As the leader of Corelight's Security Product Prototype team, you will work closely with product leaders, engineering, and network security experts to explore, design, test, and build prototype solutions for challenging network security problems. You will play a crucial role in defining the art of the possible for future products at Corelight and defining the standard for network detection in cyber security. Responsibilities Drive innovation across Corelight through thought leadership. Act as a leader and technical SME within the Product organization. Lead early prototype development of the next generation of products at Corelight through the use of rapid prototyping, testing and proof of concepts. Work closely with product leaders, security researchers, and engineering leaders on the next generation of network security products. Leveraging existing capabilities, find ways to improve customer usability, deployment and consumption of Corelight products. Using a sense of curiosity and drive for innovation, develop new product ideas and features within existing products. Drive proof of concept ideas from inception through customer fielding and testing. Act as an advocate for innovation within Corelight and its customer base. Utilize AI LLM for rapid development and feature execution. Minimum Qualifications Strong appreciation for our core values: low ego results, tireless service, and applied curiosity. 7+ years experience in rapid development across a full stack environment, to include cloud, containers, orchestration, and modern programming languages (golang preferred). Strong understanding of virtualization environments and orchestration solutions such as Kubernetes. Experience in computer networking, understanding layer 2-7 of the OSI model and how each layer contributes to the operational network. Understanding of network security concepts such as encryption, protocol abuses, and patterns of attack. Participate in highly technical discussions across multiple teams within Corelight. Utilize customer centric communication skills to interact both internally and externally. Preferred Qualifications Experience with SIEMs such as Splunk or Elastic. Experience adopting and using Agile development tools and methodologies, and working in a distributed team. Understanding of security operations, threat hunting, and incident response. Excellent communication skills with experience collaborating across UX, engineering, and product teams. Familiarity with data analytics, AI-assisted security decision-making, and automation. Education: Degrees in Computer Science, Cybersecurity, or related technical disciplines (or equivalent experience). Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture. Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we take pride in the diversity of our backgrounds and perspectives, and we are committed to fostering an inclusive environment that strengthens our company. We are looking forward to meeting you. Check us out at . Notice of Pay Transparency The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded. Compensation Range $221,000 - $268,000 USD Seniority level: Mid-Senior level. Employment type: Full-time. Job function: Product Management and Marketing. Industries: Technology, Information and Internet.

Base pay range $140,000.00/yr - $205,000.00/yr Join Powerline and help revolutionize the future of the electricity grid! We are a disruptive, VC-backed cleantech company based in Silicon Valley. Our cutting edge technology leverages machine learning and artificial intelligence to optimize renewable energy and battery storage projects on the electricity grid. Our products help renewable project owners achieve strong economics and operational excellence, paving the way for a decarbonized and profitable future grid. We work on exciting projects with leaders in the world's most lucrative and complex electricity markets. This is an incredible opportunity to become an early and foundational team member at a climate tech company that is at a growth inflection point, addressing a critical problem in one of the most important and fastest growing markets. Responsibilities Develop optimization, forecasting, and control algorithms that automate battery and renewable projects to achieve maximum performance. Take ownership of algorithm performance across projects operated by Powerline. Bring a results focused mindset that is agnostic to the algorithmic approach as long as it wins. Lead as a market rules expert. Take responsibility for staying current on new developments in the wholesale markets Powerline operates. Analyze trends in market data and individual asset performance to recommend new features and methods that improve project performance and/or Powerline's offerings. Requirements 5+ years building mixed integer linear and/or nonlinear optimization models to solve real world problems with high dimensionality. Strong knowledge of energy markets, EV/fleet optimization, batteries, virtual power plants, renewable energy, energy policies/regulations, and/or energy systems. Proficiency in Python with professional software engineering standards. High attention to detail. Excellent communication skills and ability to articulate complex technical concepts. Strong Pluses Ph.D. in operations research, electrical engineering, computer science, statistics, economics, or related field with a strong mathematical foundation. Experience with Git, CI/CD pipelines, and agile development. Experience with SQL based databases (e.g., MySQL, PostgreSQL). Experience with analytic dashboard development and visualization tools. Compensation Range: $140K - $205K

Role Senior / Staff Full-Stack Engineer at Hedra. Base Pay Range $175,000.00/yr - $275,000.00/yr Company Overview Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character 3 foundation model, the first omnimodal model in production. Character 3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI driven content creation. Note At Hedra, we're a team of hard working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start up experience and be a self starter that is driven to build impactful products that change the status quo. The Hedra team is fully in person in SF/NY with a shared love of solving hard problems using whiteboards. Summary As a Senior Full Stack Engineer, you will design, build, and deploy the frontend and backend services that power our transformative products. You will work with emerging web standards to build web based video and audio creation/editing tools, utilizing Webcodecs, web assembly, and FFMPEG. You will also work with frameworks/languages such as NextJS, React, Redux, Mobx, Typescript, Javascript, and deep dive into video container formats and streaming protocols such as MP4, MKV, HLS, and MP DASH. You will build and deploy backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic. You will work with passionate engineers and top researchers to build a truly disruptive technology. Must Have Experience 5+ years of professional experience with Javascript, React, NextJS, and Typescript. Experience working closely with design and product to set and deliver engineering initiatives and projects. A product focused engineer who is passionate about the user experience and empowering creatives. Familiarity with audio/video web standards and tools such as Webcodecs, webRTC, HLS, MP DASH, FFMPEG, MP4, and MKV. Startup experience is a must - we work hard and build quickly. Ideal candidates should be passionate with an always on attitude that drives them to live and breathe the product (not a "punch the clock" disposition). Nice To Have Experience Experience developing scalable services using Python or Golang. Familiarity with authentication/authorization such as OAuth2 and OIDC. Experience working with relational and NoSQL datastores such as DynamoDB. Experience writing unit and integration tests, working with CI/CD, and writing functional tests using tools such as Playwright. Strong familiarity with frameworks and standards such as WASM, websockets, IndexedDB, promises, generators, and coroutines. Experience building and scaling cloud based infrastructure leveraging Kubernetes and EKS. Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka. Experience architecting and implementing REST APIs for distributed systems. Experience with k8s, Docker, especially in the context of deploying machine learning models on NVIDIA hardware. Personality Self motivated and independent - able to set accurate timelines for development and deliver on them. Have an opinion and the experience to back that opinion. Low ego, high patience, strong communication skills. Understand operational costs and overhead short and long term. Mission driven - we are building something fundamentally disruptive and this reflects deeply in our company DNA. And most importantly, treat Hedra as your own and help shape the vision accordingly. Benefits Competitive compensation and equity 401k Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office Additional Information We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team. Compensation Range: $175K - $275K

Data Architect - HR Data & Analytics About Quantiphi: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine learning research with disciplined cloud and data engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead. Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple industry verticals (Telco, BFSI, HCLS etc.) and is an established elite/premier partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We've been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first in class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Role Overview The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support one of our FSI client's HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, well governed data solutions built on Snowflake and integrated with Workday and other HR platforms. The ideal candidate will bring deep technical expertise and a solid understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Basic Qualifications Bachelor's degree in Data Analytics, Computer Science, Human Resources, or a related discipline (or equivalent experience). Minimum of 8+ years of experience as a Data Architect preferably in HR analytics or HRIS environments. Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Other Qualifications Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross functional collaboration between HR, Finance, and Technology teams. What's in it for YOU at Quantiphi Make an impact at one of the world's fastest growing AI first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research focused organization with 60+ patents filed across various disciplines. Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. Experience Level 8+ years of experience Employment Type Full time Boston, MA $145,500.00-$280,000.00