70 jobs found

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Location: Waltham, MA - Salary: $125,000.00-$165,000.00 Senior Technical Consultant In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life cycle to define, design, develop and implement custom software solutions using Appian's low code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, develop APIs to integrate with multiple systems, and lead/mentoring consultants through fast paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self sufficient with building process applications on their own. To Be Successful In This Role Passion for mentoring/developing others and experience leading small teams through post sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross functional teams; experience building products using agile methodologies (pair programming, stand ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Equal Opportunity Employer Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Appian's Applicant & Candidate Privacy Notice applies.

Overview At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit to see how we empower creators to own their own destiny. Lead Software AI Engineer At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Lead Software AI Engineer at Klaviyo, you'll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You'll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. This is a backend-heavy leadership role with a strong focus on applied AI/ML, including large language models (LLMs) and agentic AI systems.

Overview 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 drug development, 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 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/KVM). 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 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. Annual Pay Annual Pay Range $165,750 - $224,450 Not Overtime Eligible Eligible for Equity

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting edge AI research to real world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state of the art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. Responsibilities Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high impact innovation. Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. Build cutting edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets. Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale. Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows. Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team. Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production. Qualifications Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus. 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision. Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs). Hands on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred). A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders. Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more. Must be a U.S. Citizen or Green Card holder (ITAR compliance). Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short term priorities identified by our top clinicians, as well as on long term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best in class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High throughput big data processing under redundancy / low latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

Overview DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. Position and Location Company: DataRobot Inc. Position: Senior Execution Data Scientist Work Location: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) Responsibilities Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. Minimum Requirements Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation. 3 years of experience consulting with customers on end-to-end data science solutions. 3 years of experience building and implementing machine learning or AI models into production. Experience with each of the following: Machine learning and predictive modeling. Building and implementing predictive models, data science, and complex statistical analysis. Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries. Developing predictive models, AI algorithms, and systems to generate significant business insights. Integrating predictive models and AI algorithms into client environments. Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization. Terms of Employment Full time (40+ hours per week). Salary range: $190,000-$232,750 per year. Benefits Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD&D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flexible paid time off, quarterly reboot days and paid parental leave. To Apply Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. Additional Information The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate EEO and Privacy DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other protected characteristics. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

A rapidly expanding, entrepreneurial technology company, is seeking a motivated Android Mobile App Developer who wants to be part of a fast-paced, rapidly growing team. We are looking for Android Mobile App Developers who will design the app based on product management specifications, implement connectivity to the backend components leveraging mobile SDKs from implement the user interface and other client-slide logic in native Google tools, and provide ongoing technical guidance. The ideal candidate is self-sufficient and will exhibit a high degree of initiative in learning new technologies and methods to resolve challenges encountered during the project life cycle. Very few companies innovate and develop across such a broad range of technologies as This position is ideal for the candidate who seeks a friendly company culture where one can work closely with smart and highly productive people across a very interesting spectrum of wireless, software, and hardware/device technologies to develop outstanding consumer products. RESPONSIBILITIES The Mobile App Developer's primary job responsibilities will include: Developing mobile applications for Android as well as server-side APIs Writing coherent, organized code. The ideal candidates must be comfortable working on a complicated code-base with high levels of abstraction Working with Product Management to help define functional specifications for mobile applications Implementing multi-device application features as part of an interactive Agile development process Researching, adopting and integrating new technologies Innovating and improving existing products and mobile app features Taking ownership of projects to ensure their successful completion with respect to deadlines Collaborating with Quality Assurance in developing a test plan to ensure successful deployment of updates Other duties as assigned REQUIREMENTS B.A. or B.S. in Computer Science or similar engineering program with strong academic performance. Liberal arts academic experience or interests are also a plus. 0-2 years of experience in Software Development, preferably in mobile development 1+ year of android experienced preferred Self-starter, analytical, tenacious problem solver Strong verbal and written communication skills Rigorous attention to detail and focus on quality of deliverables Proven team experience and comfort in a team-oriented environment Passion for working with technology and excitement for creating high quality consumer technology products For Android: Java, Kotlin, Android SDK BONUS POINTS FOR: Experience with Android SDK, Java, Kotlin, XML layouts, Gradle, JUnit, Espresso Experience with C# Experience with Git, JSON, REST, XML and HTML Experience with Smart Home Assistants Experience with unit testing (JUnit, Mockito, Robolectric) and UI testing (Espresso) Experience writing code for a multi-threaded environment Experience writing scripts in: Python, Ruby, Groovy, Bash, etc Experience with or knowledge of common architectural patterns: MVP, MVVM WHY WORK FOR Make an immediate impact and collaborate with outstanding people : New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team! Gain well rounded experience : offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business. Work with the latest technologies : You'll gain exposure to a broad spectrum of IoT, SaaS and M2M technologies including wireless communication, video monitoring, smart home automation, web development, and backend application development and hosting. Focus on fun : places high value on our team culture. We even have a committee dedicated to hosting a stand-out holiday party, happy hours, and other fun corporate events. values working together and collaborating in person. Our employees work from the office 4 days a week COMPANY INFO is the leading cloud-based platform for smart security and the Internet of Things. More than 7.6 million home and business owners depend on our solutions every day to make their properties safer, smarter, and more efficient. And every day, we're innovating new technologies in rapidly evolving spaces including AI, video analytics, facial recognition, machine learning, energy analytics, and more. We're seeking those who are passionate about creating change through technology and who want to make a lasting impact on the world around them. For more information, please visit . COMPANY BENEFITS offers competitive pay and benefits inclusive of subsidized medical plan options, an HSA with generous company contribution, a 401(k) with employer match, and paid holidays, wellness time, and vacation increasing with tenure. Paid maternity and bonding leave, company-paid disability and life insurance, FSAs, well-being resources and activities, and a casual dress work environment are also part of our outstanding total rewards package! is an Equal Opportunity Employer In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies Notice To Third Party Agencies: understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with please email your company information and standard agreement to .

Overview About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority-compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what's possible. What You Will Do As part of our core engineering team, you will design and deploy production-grade systems that integrate machine learning models into scalable software pipelines. You'll develop and ship features that leverage ML to solve real-world optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. You'll approach problems with a software engineer's mindset-prioritizing robustness, maintainability, and performance at scale. What We Value Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience using LLMs in production environments - covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain Strong understanding of data structures, algorithms, and software engineering best practices. Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts. Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools. Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines. A bias for simplicity and clarity in solving complex problems. Intellectual curiosity and willingness to collaborate. Clear communication and collaboration across cross-functional teams. How Do We Hire We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.

Principal Systems Engineer - Quantum Computing Systems Boston, MA USA Summary We are seeking a Principal Systems Engineer to play a critical role in aligning engineering execution with scientific and machine-level progress in the development of large scale quantum computers. This role sits at the intersection of quantum science, hardware engineering, and control software, with a primary mission to make the system coherent, buildable, and integrable as it evolves. Unlike traditional product environments, many system requirements in quantum computing are discovered through experimentation, not defined upfront. Success in this role requires deep collaboration with scientists, rapid learning, and the ability to introduce structure only where it accelerates progress. The ideal candidate brings extensive experience building complex hardware-software systems (e.g., aerospace, EVs, robotics, advanced instrumentation) and is motivated to apply systems engineering rigor in a learning driven R&D environment, pairing closely with internal quantum experts. This is a technical leadership role with broad influence across teams. Authority comes from clarity, usefulness, and trust - not from gatekeeping or heavy process. Core Mission Bridge the gap between engineering tasks and quantum machine milestones Make system architecture, integration status, and technical risk visible and actionable Enable scientists and engineers to move faster together by reducing ambiguity, friction, and rework Help the organization evolve from ad hoc integration to disciplined, scalable system development - without slowing discovery Responsibilities 1. System Understanding Through Scientific Partnership Work closely and continuously with quantum scientists to understand how the machine is actually operated, tuned, and debugged in practice. Spend significant time in the lab, observing experiments and participating in scientific discussions to absorb tacit system knowledge. Treat scientists as primary system knowledge holders, approaching requirement gathering as a learning and synthesis exercise. Build trust by accurately reflecting scientific intent and constraints in system models, requirements, and architectural decisions. 2. Requirements Co Evolution & Traceability Facilitate the co evolution of system requirements as the machine progresses: Start with lightweight, provisional requirements Explicitly document uncertainty, assumptions, and open questions Refine requirements as experimental results and understanding improve Translate scientific goals (e.g., performance, stability, operability) into actionable engineering requirements while preserving necessary flexibility. Establish traceability between: Subsystem requirements Engineering deliverables (e.g., JIRA epics) Ensure engineers understand the intent behind requirements, not just the wording. Develop and maintain a living system architecture covering: Control electronics and firmware Control software and orchestration layers Produce clear, accessible architecture diagrams that reflect reality and evolve with the system. Identify missing architectural elements, poorly defined interfaces, and integration risks early. Lead system level trade studies and technical decision making in partnership with engineering and scientific leaders. Ensure architecture reflects machine milestones and not just organizational boundaries. 4. Integration, Test Strategy, and Machine Protection Define and drive a system integration and test strategy appropriate for an evolving R&D machine. Help ensure engineering testbeds match machine configurations as closely as possible. Push integration testing upstream so that machines are not used as primary test platforms. Partner with engineering teams to define validation criteria tied to real machine behavior. Reduce burden on lab teams by improving pre deployment testing and integration readiness. 5. Early Wins & Trust Building Deliver small, tangible improvements early that directly reduce friction for scientists and engineers, such as: Clarifying a recurring interface problem Creating a simple integration checklist Documenting a failure mode that saves days of debugging Use these wins to establish credibility and reinforce the value of systems engineering. Continuously gather feedback on what is helping vs. slowing teams down, and adapt approach accordingly. 6. Unlearning, Adaptation, and Process Design Actively identify where traditional systems engineering assumptions do not apply to quantum computing. Unlearn rigid models around fixed requirements, early design freezes, and linear development. Introduce process and structure incrementally, calibrated to system maturity. Champion systems thinking without dogma - prioritizing outcomes over formality. 7. Technical Leadership & Mentorship Serve as a technical leader and mentor for engineers and emerging systems thinkers. Help scale system knowledge through documentation, diagrams, and internal education. Contribute to leadership discussions on technical strategy, integration risk, and execution pacing. What Success Looks Like Within 6-12 months: Scientists feel supported by engineering integration work. Engineering efforts show clearer linkage to machine milestones. Integration issues are identified earlier and resolved faster. System architecture is widely referenced and trusted. Leadership has improved visibility into system readiness and risk. Machine milestones are achieved. Qualifications 10+ years of experience in systems engineering or system architecture for complex hardware-software systems. Proven experience integrating multidisciplinary systems (hardware, software, controls). Strong background in requirements definition, interface management, and system integration. Ability to operate effectively in ambiguous, fast evolving R&D environments. Exceptional communication and collaboration skills. Preferred Qualifications Experience in aerospace, automotive, robotics, advanced instrumentation, or similar domains. Familiarity with model based systems engineering (MBSE) concepts or tools. Experience working closely with research or experimental teams. Exposure to quantum technologies is a plus, but not required. Personal Attributes We Value Intellectual humility and curiosity Comfort learning from domain experts Bias toward clarity and usefulness Why This Role Matters You will help build a machine that has never existed before - not by enforcing process, but by making the system understandable, integrable, and scalable. This role is foundational to turning scientific breakthroughs into reliable quantum computers. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Join Red Hat as a Senior Principal Software Engineer (ML/AI Tooling) and help democratize AI with open source. This role is located in the Boston, MA office and is part of the newly formed AI Engineering organization. About the Team Red Hat's AI Innovation team leads frontier AI research and productizes outcomes with open source software. The team bridges cutting edge research and production, translating research papers from conferences such as NeurIPS, ICLR, and ICML into tools that run on the Red Hat AI platform. About the Role You will serve as a strategic technical leader, designing frameworks that enable novel AI algorithms in synthetic data generation, model training, and inference time scaling. In this high impact role you will write code at an expert level, define the technical strategy for the team, and shape Red Hat's open source AI/ML strategy. What You Will Do Strategic Architecture & Leadership Define the technical strategy and architecture for AI/ML tooling and frameworks to work smoothly with platform components. Serve as a Subject Matter Expert, advising leadership on designs that drive community adoption. Mentor and coach Principal and Senior engineers, fostering a culture of technical excellence. Influence the broader open source AI ecosystem by designing frameworks that become community staples. Champion best practices for leveraging AI assisted development tools to accelerate coding, testing, and documentation. Engineering & Execution Lead development of complex projects in data generation, model training, inference time scaling, and new algorithms. Set engineering standards for code reviews, testing frameworks, and system documentation. Evaluate and select appropriate technologies for robust, user friendly developer tools. Drive the design of open source tools to ensure they are accessible, extensible, and community ready. What You Will Bring 10+ years of software development experience, with deep expertise building developer tooling for Machine Learning workflows. Ability to work in the Boston, MA office. Proven track record of maintaining or creating AI/ML projects, preferably popular open source or enterprise scale. Deep knowledge of machine learning frameworks such as PyTorch and TensorFlow. Experience with Large Language Models (LLMs) in tooling, fine tuning, or serving contexts. Ability to integrate the latest AI tooling frameworks and best practices into organizational workflows. Proficiency in a modern backend language (Python, Go, Rust, etc.). Demonstrated leadership of technical strategy for tooling frameworks or platform engineering. Proven success designing software frameworks or APIs with significant adoption. Excellent communication skills to influence Red Hat leadership and shape open source strategy. Track record of mentoring senior engineers and raising the technical bar. Considered a Plus Advanced Python expertise in the ML ecosystem. Experience with state of the art post training techniques. Advanced degree (Master's or PhD) in Machine Learning, NLP, or related field. Experience with Red Hat products. Salary Range: $189,600.00 - $312,730.00 (Actual offer based on qualifications) Pay Transparency Red Hat determines compensation based on location, experience, skills, market value, and internal equity. Annual salary is one component of the package. The position may also be eligible for bonus, commission, or equity. For Remote US locations, the actual salary range may differ. About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, offering Linux, cloud, container, and Kubernetes technologies. We employ over 40,000 associates worldwide, working flexibly across in office, office flex, and remote environments. Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare and dependent care Health Savings Account - high deductible medical plan Retirement 401(k) with employer match Paid time off and holidays Paid parental leave plans for all new parents Leave benefits including disability, paid family medical leave, and paid military leave Additional benefits: employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits apply only to full time, permanent associates in the United States. Inclusion at Red Hat Red Hat's culture embraces transparency, collaboration, and inclusion. We strive to ensure equal opportunities and a welcoming environment for all, valuing diverse ideas and perspectives. Equal Opportunity Policy (EEO) Red Hat is an equal opportunity workplace and affirmative action employer. We review applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, disability, marital status, or any other prohibited basis. We do not accept unsolicited resumes or CVs from recruitment agencies. Red Hat is not responsible for any fees related to such submissions. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance with the online application, email application . General inquiries about application status will not receive a reply.

Principal Machine Learning Engineer, Distributed vLLM Inference Join to apply for the Principal Machine Learning Engineer, Distributed vLLM Inference role at Red Hat Job Summary At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and LLM D projects, and inventors of state of the art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. Join us in shaping the future of AI! What You Will Do Develop and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments. Create system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads. Design and implement KV cache aware routing and scoring algorithms to optimize memory utilization and request distribution in large scale inference deployments. Enhance the resource utilization, fault tolerance, and stability of the inference stack. Contribute to the design, development, and testing of various inference optimization algorithms. Actively participate in technical design discussions and propose innovative solutions to complex challenges. Provide timely and constructive code reviews. Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation. What You Will Bring Strong proficiency in Python, GoLang and at least one of the following: Rust, or C++. Experience with cloud native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI. A solid understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies. Working knowledge of high performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus. Excellent communication skills, capable of interacting effectively with both technical and non technical team members. A Bachelor's or Master's degree in computer science, computer engineering, or a related field. Preferred Qualifications Experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads. Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry. Ph.D. in an ML related domain is a significant advantage. The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications. Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare and dependent care Health Savings Account - high deductible medical plan Retirement 401(k) with employer match Paid time off and holidays Paid parental leave plans for all new parents Leave benefits including disability, paid family medical leave, and paid military leave Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email .

Scene Understanding Engineer The Perception Scene Understanding team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex urban environments. We translate sensor data and detected objects into deep semantic understanding, ensuring our robots make human-level decisions in real-time. We are seeking engineers passionate about the intersection of robotics and cutting-edge AI. In this role, you will develop next-generation algorithms and deploy production-grade software directly to our fleet. You will tackle the inherent unpredictability of urban driving-including road closures, occlusions, dynamic traffic controls, and abnormal traffic patterns-ensuring our vehicles remain resilient in the face of unexpected hazards. As an engineer on the Scene Understanding team, you will develop and deploy advanced machine learning models that interpret the robot's surroundings to identify hazards and enforce driving restrictions. Your work will be pivotal in resolving unstructured scenarios, ensuring safe navigation through complex or restricted zones. You will optimize models for real-time inference on our vehicle hardware and collaborate closely with teams-including Localization, Perception, Prediction, and Planning-to deliver a seamless, safe, and reliable experience for our riders. Responsibilities Develop machine learning algorithms for Bird's Eye View scene analysis and real-time hazard detection. Design and implement scene understanding solutions specifically for Zoox's unique bidirectional vehicle. Lead the end-to-end data strategy-including mining, auto-labeling, and dataset construction-to keep our ML models improving. Implement on-vehicle software for model inference and result post-processing that runs reliably in real-time. Use our large-scale data pipelines and infra to research, prototype, and deploy changes that directly improve how the vehicle handles complex road scenarios. Team up with Perception, Prediction, and Planning teams to integrate your signals into the final driving solution. Qualifications BS, MS, or PhD in Computer Science, Robotics, or a related field with 2+ years of industry experience training and deploying ML models. Experience with BEV (Bird's Eye View) models, segmentation, or 3D representations. Hands-on experience with the full lifecycle: dataset construction, training frameworks, and building metrics pipelines to evaluate performance. A strong mathematical foundation in linear algebra, calculus, and probability. Fluency in C++ and Python. Experience with PyTorch, TensorFlow, JAX. Bonus Qualifications Track record of designing novel neural network architectures or working with probabilistic outputs. Experience working on autonomous systems or integrating ML models into a robotics stack. Publications in top-tier conferences like CVPR, ICCV, ECCV, RSS, or ICRA. $179,000 - $245,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Benefits Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Accommodations If you need an accommodation to participate in the application or interview process please reach out to email protected or your assigned recruiter. A Final Note You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

A fast-growing AI company is seeking a Machine Learning Engineer to build and scale advanced systems powering multi-agent workflows. The role involves designing and productionizing large language models, optimizing their performance, and collaborating with cross-functional teams. Essential skills include proficiency in Python and ML frameworks, hands-on experience with LLMs, and familiarity with AWS. This is a full-time position based in Boston, offering flexibility for hybrid work.

Data Science Machine Learning Engineer LLM NLP Healthcare Join Flatiron Health as a Machine Learning Engineer and contribute to improving cancer care through data-driven insights. You'll develop and validate ML models to extract clinical information from unstructured medical notes, working with a cross-functional team across the US, Europe, and Japan. Your responsibilities include understanding stakeholder needs, building models using LLMs, traditional ML, and NLP techniques, validating models with scientists and oncologists, and collaborating with engineers to productionize and scale your work. Requirements: 3+ years of relevant experience in a technical role with a focus on ML. Strong background in applying ML to real-world problems. Experience with NLP and LLMs preferred. Experience working in a startup environment. Experience with Python and SQL. Nice-to-have: ML experience in healthcare. Experience with bias in machine learning and health equity. How to Apply Interested in this position? Please submit your resume and cover letter through the application portal.

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

Machine Learning Engineer - Perception Offline Driving Intelligence at Zoox Overview The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and devise a path of impact into our self driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine tune these models for off vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world class engineers and researchers, you'll leverage premium sensor data and cutting edge infrastructure to validate your algorithms in real world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. Responsibilities Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments Implement model architectures and sophisticated training techniques Build large, high quality datasets leveraging all inputs from our sensor stack and the overall large scale data we have at Zoox Drive end to end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision making pipeline Validate and optimize your solutions using real world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications MS or PhD in Computer Science, Machine Learning, or related technical field Demonstrated experience training and deploying large language models (LLMs) Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Experience training models with large scale data Bonus Qualifications Publications in top tier conferences (CVPR, ICCV, RSS, ICRA) Experience with autonomous robotics systems Compensation $179,000 - $245,000 a year Base Salary Range: There are three major components to compensation for this position-salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Benefits Zoox also offers a comprehensive package of benefits, including paid time off (e.g., sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long term care insurance, long term and short term disability insurance, and life insurance. About Zoox Zoox is developing the first ground up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility as a service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast moving and highly execution oriented team. Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

A technology-led insurance provider is seeking a Machine Learning Engineer in Boston, MA. The role involves designing and optimizing backend services for AI workflows and integrating ML models into production systems. The ideal candidate will have over 5 years of backend engineering experience and strong communication skills. This position offers a hybrid work model with a flexible salary range of $158,000-$213,000 USD, along with various benefits such as a medical plan and paid time off.

About Vardera Labs At Vardera, we're building the next generation of infrastructure for the art, auction, and collectibles industry-combining cutting edge AI, computer vision, and automation to power catalog creation, data strategy, and operational excellence for auction houses worldwide. We are a small, venture backed team of operators and entrepreneurs with a bold mission: to modernize a multi billion dollar market at a critical moment of generational ownership transfer and digital transformation. What You'll Do Build and deploy AI/ML models across new asset categories (comics, cards, watches, jewelry, fine art, etc.). Balance from scratch builds with leveraging foundation models and off the shelf tools-using the right approach for speed, accuracy, and efficiency. Prototype quickly, test with real customer data, and push to production. Design workflows that minimize wasted effort while compounding into long term defensible data + model infrastructure. What We're Looking For Strong background in applied ML (vision, text, multimodal, embeddings, fine tuning). Pragmatic decision maker: knows when to train, when to adapt, and when to just glue things together. Builder mindset-bias toward action, rapid iteration, and comfort with messy or sparse data. Excited to join a post seed startup as a founding team member with broad project ownership. Why Join Direct founding level impact in a venture backed company already working with major customers. Build the models that expand us to multi category AI infrastructure. See your models drive real world revenue and efficiency in a multi trillion dollar industry. Compensation Salary level matching seed stage hires (relative to experience and fit): $175,000 - $250,000 Equity: Meaningful early equity in a high growth startup Location Hybrid, with periodic in person offsites and industry conferences. While we have a bias toward in person in Boston, it's not required everyday, but we expect you spend >50% of your time in the office.

Join to apply for the Senior Software Engineer role at Altana Join to apply for the Senior Software Engineer role at Altana Get AI-powered advice on this job and more exclusive features. AI can be a powerful tool for good in the world - at Altana we apply AI to the world's largest organized body of supply chain data to power a more resilient, more secure, and more sustainable model of global commerce. Our customers connect to the Altana network to build resilience for critical industries and infrastructure, automate and safeguard cross-border trade, transform insurance underwriting, protect national security, combat modern slave labor, disrupt fentanyl trafficking, and ensure that their products are sustainable. Altana is backed by leading investors and used by the world's most important organizations, including Lloyd's, Maersk, multiple government agencies across the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI-powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API's, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. You Will Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve the goal while fitting into our overall technical and product roadmaps. Personally develop and deploy services creating and supporting our overall architecture. Build and maintain distributed data processing and machine learning pipelines. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your work. Review the code and technical designs authored by your fellow team members, and hold a high bar for quality. Mentor junior developers and help them level up their skills. You Have BS or MS degree in Computer Science, or equivalent experience. 5+ years of real-world professional experience writing back end or data-driven software in demanding environments. You've deployed production code and services to cloud-hosted environments. You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production. Self-starter with demonstrated experience working on large, complex problems. You care deeply about engineering excellence, clean code, and knowledge-sharing. You have strong written and verbal communication skills. Nice To Have, But Not Required Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe). Experience with container technologies like Docker and Kubernetes. Technologies we love to use at Altana Languages: Python, PySpark Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery Datastores: Databricks and Delta Lakes This role can be based in any of our Altana hub locations, with hybrid work flexibility: New York City or San Francisco, CA Why it's great to work at Altana We love to collaborate, and we win as a team! We are committed to engineering excellence We value personal and professional development We learn from diverse backgrounds and perspectives We impact the world, from enabling developing countries to identifying drug traffickers At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Altana by 2x Sign in to set job alerts for "Senior Software Engineer" roles. New York, NY $150,000.00-$210,000.00 2 weeks ago New York, NY $160,000.00-$200,000.00 6 days ago SENIOR APPLICATION DEVELOPER/PROJECT SPECIALISTSenior Frontend Developer (React SME) - Multi-$bn AUM Fund - NYC New York, NY $250,000.00-$300,000.00 3 weeks ago New York, NY $145,000.00-$155,000.00 2 weeks ago New York, NY $150,000.00-$210,000.00 2 months ago Vice President, Senior Software Engineer - Capital Markets New York, NY $170,000.00-$200,000.00 3 weeks ago Senior Software Engineer - Supply Quality New York, NY $200,000.00-$250,000.00 3 days ago Senior Software Engineer - Buy-Side Trading Violation Manager New York, NY $160,000.00-$240,000.00 1 day ago Lead Software Engineer/ Emerging Team Lead New York, NY $190,000.00-$220,000.00 1 week ago Senior Software Engineer - Trading & Portfolio Management - Global Financial Data Powerhouse New York, NY $160,000.00-$240,000.00 1 week ago New York City Metropolitan Area $150,000.00-$205,000.00 4 days ago Senior Vice President - Senior Software Engineer New York, NY $116,000.00-$246,000.00 1 day ago Senior Software Engineer - Buyer Pricing New York, NY $200,000.00-$250,000.00 2 weeks ago New York, NY $170,000.00-$280,000. hours ago New York City Metropolitan Area 2 weeks ago Vice President, Senior Software Engineer - Capital Markets New York, NY $166,000.00-$205,000.00 2 months ago Senior SDE, Trading Compliance - Data-Driven Global Investment Firm New York, NY $142,320.00-$213,480.00 1 week ago Senior Software Engineer - Securitized Products Cashflow Engine New York, NY $160,000.00-$240,000.00 1 day ago Senior Software Engineering Lead - Private Equity & Real Estate Technology New York, NY $175,000.00-$235,000.00 4 months ago Sr Manager of Software Engineering - Java/AWSPrincipal Software Engineer - Global Payroll New York, NY $216,000.00-$378,000.00 1 week ago Senior SWE - Network Infrastructure - Innovative Global Technology Leader New York, NY $150,000.00-$300,000.00 3 months ago Vice President, C++ Senior Software Engineer New York, NY $166,000.00-$205,000.00 2 months ago Senior Data Architect, SVP - Data, Cloud, and Developer Experience New York, NY $220,000.00-$250,000.00 4 days ago SENIOR QUALITY ASSURANCE AUTOMATION ENGINEERPrincipal Software Engineer - Video - Design Experience - (Open to Bay area or ANZ, relocation provided to ANZ) New York, NY $227,000.00-$303,000.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

A leading technology company in Boston is seeking a Scene Understanding Engineer to develop machine learning algorithms that allow autonomous vehicles to navigate complex urban environments. You will lead the development of next-generation algorithms and deploy production-grade software to the vehicle fleet. This role requires expertise in C++, Python, and machine learning models, along with strong collaboration skills in a dynamic environment. The position offers a salary range of $179,000 - $245,000, alongside a comprehensive benefits package.