UNKNOWN

FEED

Partner with product and applied ML teams to design, launch, and iterate ML-powered features (e.g., backend CV models, EcoDriving insights, LLM-based reporting), driving measurable improvements in safety outcomes, feature reliability, and cost efficiency. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.

YEAR

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is the industry leader in AI for physical operations. We're hiring a Staff / Senior Staff Machine Learning Infrastructure Engineer to lead the design and evolution of our end-to-end ML platform powering Safety AI and adjacent product areas. This role combines deep platform ownership with direct product impact-enabling teams to build, deploy, and scale ML systems that improve real-world safety outcomes. This is a remote position open to candidates based in the United States. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. In this role, you will:  Design, build, and operate Samsara's end-to-end ML platform spanning training, experimentation, batch and online inference, and edge deployment, used by multiple product teams across Safety AI and adjacent domains. Partner with product and applied ML teams to design, launch, and iterate ML-powered features (e.g., backend CV models, EcoDriving insights, LLM-based reporting), driving measurable improvements in safety outcomes, feature reliability, and cost efficiency. Lead throughput and cost estimation for new ML features-from early-stage exploration to production-scale capacity planning-informing roadmap and go/no-go decisions. Collaborate on experiment design and evaluation, including defining success metrics, structuring A/B tests or offline evaluations, and interpreting results to guide product and technical decisions. Evolve shared training and experimentation infrastructure (e.g., job orchestration, cluster configuration, environment management), and standardize experiment tracking, evaluation, and regression testing to enable fast and safe iteration. Design and operate scalable online and batch inference systems (Ray- and Spark-based), including deployment patterns, observability, and SLOs, while unifying training-to-production workflows and enabling consistent pipelines across teams. Partner with firmware and edge teams to define workflows for packaging, validating, and deploying models to Samsara devices, and build feedback loops from edge to cloud to support continuous improvement. Own the reliability, observability, and security posture of ML systems across cloud and edge environments, including on-call practices, incident response, and infrastructure hardening. Provide Staff+/Senior-Staff-level technical leadership by setting architecture and strategy for ML infrastructure, influencing cross-team decisions, and mentoring engineers and applied scientists. Drive strong developer experience through documentation, office hours, and best practices, while contributing to and representing Samsara in open source communities (e.g., Ray, Spark, RayDP). Own or co-own end-to-end technical delivery for high-priority or high-risk initiatives, from modeling and system design through production rollout. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: 10+ years of overall experience in machine learning engineering or related fields, with a strong track record of building and operating large-scale ML systems. Strong experience with distributed computing frameworks such as Ray and/or Spark. Hands-on experience with cloud infrastructure (AWS), containers/Kubernetes, and production observability tooling. Proven experience building or supporting ML platforms (training, experimentation, or inference) used by multiple teams. Solid understanding of ML fundamentals including evaluation, experiment design, and model iteration in production environments. An ideal candidate also has: Experience shipping ML-powered features end-to-end, from design through production and iteration, with measurable impact on product or business metrics. Background in computer vision and/or LLM-based systems in production environments. Experience with edge or on-device ML and collaboration with firmware or embedded teams. Familiarity with model lifecycle systems (model registry, deployment, monitoring, rollback, drift detection). Experience working in environments with strong security and compliance requirements. Demonstrated ability to lead across teams and influence technical direction at Staff+ scope. * A strong sense of ownership and a desire for end-to-end autonomy-from platform design to real-world impact. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $200,200-$357,500 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Samsara Inc.

Staff ML Engineer

A/B Testing

Agriculture

Amazon Web Services (AWS)

Artificial Intelligence (AI)

Best Practices

Blog

Capacity Management

Cloud Computing

Computer Firmware

Computer Skills

Computer Vision

Configuration Management

Construction

Continuous Improvement

Cost Estimates

Customer Relations

Distributed Computing

Documentation

Embedded Systems

Environmental Management

Equal Employment Opportunity (EEO)

Experiment Design

Fundamental Analysis

Grocery Stores

Incident Response

Internet of Things

Large-Scale Systems

Leadership

Legal

Machine Learning

Machine Tool

Manufacturing

Mentoring

Metrics

Model Validation

On Call

On Site Support

Open Source

Operational Improvement

Process Improvement

Product Documentation

Product Safety

Production Systems

Regression Testing

Regulatory Compliance

Risk

Strategic Planning

Sustainability

Team Lead/Manager

Team Player

Technical Delivery

Technical Leadership

Theater Production

Work From Home

Design, develop, deploy, and maintain AI agents (multi-step reasoning systems that combine LLMs with tools, retrieval, and planning) appropriate for use in a regulated life sciences environment, including bounded scope, defined human oversight, traceability of agent decisions, and safe handling of write-back actions to systems of record. Practical working experience across multiple frontier model families (e.g., Anthropic Claude, OpenAI GPT, Google Gemini, leading open-weight models), with the judgment to select among them based on task fit, accuracy, cost, latency, safety properties, and data-handling commitments.

Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer.OverviewThis is a senior role responsible for the hands-on design, build, validation, and deployment of Artificial Intelligence (AI) systems at Iovance Biotherapeutics. This role is focused on execution - turning approved use cases into working, validated, production AI systems that deliver measurable business value. This role directly supports Iovance's strategy to improve overall operational productivity. The ideal candidate is a deeply technical, hands-on senior engineer with demonstrated production experience designing and shipping Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) systems, and modern AI integrations. This position works closely with IT leads, business process owners across Manufacturing, Quality, Regulatory Affairs, Clinical, Commercial, G&A, IT Security, Privacy, and Quality Assurance to deliver AI capabilities that respect Iovance's regulated environment. This role executes against a roadmap and prioritized backlog, while contributing technical input to refinement, scoping, and sequencing.Primary Responsibilities<ul><li>Design, build, and ship AI systems against the approved Iovance AI roadmap, including end-to-end ownership of architecture, retrieval pipelines, prompts, evaluation, integrations, and deployment for assigned use cases.</li><li>Implement production-grade Retrieval-Augmented Generation (RAG) systems on Iovance's AWS infrastructure (S3, Redshift, Bedrock), including chunking strategies, embedding selection, vector storage, retrieval and reranking, grounding, and citation handling appropriate to high-accuracy use cases.</li><li>Build, maintain, and run evaluation harnesses for AI systems, including held-out test sets, accuracy and grounding metrics, hallucination detection, adversarial inputs, and regression testing across model and prompt changes; treat evaluation as a first-class engineering deliverable, not an afterthought.</li><li>Design and implement integrations between AI systems and Iovance enterprise systems using Model Context Protocol (MCP), APIs, and event-driven patterns, applying least-privilege access principles and partnering with IT Security on integration approval.</li><li>Own and maintain LLM security controls for production AI systems, including input and output guardrails, prompt injection and jailbreak defenses, sensitive data redaction (PII, PHI, Iovance Confidential Information and Intellectual Property), content moderation, and abuse monitoring, working in partnership with IT Security.</li><li>Design, develop, deploy, and maintain AI agents (multi-step reasoning systems that combine LLMs with tools, retrieval, and planning) appropriate for use in a regulated life sciences environment, including bounded scope, defined human oversight, traceability of agent decisions, and safe handling of write-back actions to systems of record</li><li>Establish and uphold modern engineering practices for AI development including version control for code, prompts, and evaluation sets; CI/CD pipelines; environment separation (dev, test, production); and reproducible builds.</li><li>Conduct hands-on technical evaluation of AI vendors, tools, and Foundation Models when build-vs-buy decisions are under consideration; produce concise, fact-based recommendations to the IT function lead and AI Governance Committee, including proof-of-concept results where appropriate.</li><li>Implement and operate technical controls for production AI systems including audit logging, access management, prompt and model change control, model registry, ongoing performance monitoring, and incident detection, in alignment with Iovance policies.</li><li>Author technical documentation appropriate to the system risk tier, including architecture diagrams, data flow diagrams, evaluation reports, runbooks, and validation deliverables; contribute to the Iovance AI Validation Playbook.</li><li>Mentor junior engineers who collaborate on AI projects; stay current on rapid advances in AI tooling, models, and engineering best practices, and bring technical recommendations forward.</li></ul>Qualifications<ul><li>10+ years of progressive software and/or AI/ML engineering experience, with the most recent 1+ years dedicated primarily to LLM-based application development. Demonstrated track record of shipping production AI systems that real users depend on.</li><li>Deep, hands-on production experience with Retrieval-Augmented Generation (RAG) including chunking strategies, embedding models, vector stores, retrieval and reranking, and grounding for high-accuracy use cases. Working production experience with Model Context Protocol (MCP) or equivalent agent/tool integration patterns.</li><li>Practical working experience across multiple frontier model families (e.g., Anthropic Claude, OpenAI GPT, Google Gemini, leading open-weight models), with the judgment to select among them based on task fit, accuracy, cost, latency, safety properties, and data-handling commitments. Awareness of model capability changes and how to evaluate new model releases.</li><li>Strong software engineering fundamentals: production Python (and ideally one other language); modern Agile delivery; version control (Git); CI/CD; containerization; cloud platforms (preferably AWS, with working familiarity with S3, Redshift, and Bedrock); MLOps tooling and practices.</li><li>Hands-on, builder disposition; this role spends the majority of its time writing code, designing systems, evaluating models, and producing technical artifacts - not in meetings.</li><li>Working production experience with AWS data and AI services is strongly preferred (S3, Redshift, Bedrock, IAM).</li><li>Working knowledge of enterprise search and retrieval services such as OpenSearch, Elasticsearch, or equivalent, including the design of hybrid retrieval patterns (vector plus lexical/BM25) that improve grounding and relevance in production RAG systems</li></ul>Preferred/Desirable Knowledge, Skills, and Education<ul><li>Relevant cloud and AI/ML certifications (AWS, Azure, etc.);</li><li>Working knowledge of US regulatory requirements applicable to AI in regulated life sciences, including 21 CFR Part 11, GxP, HIPAA, and emerging FDA expectations on AI/ML in pharmaceutical manufacturing and drug development</li><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related quantitative discipline.</li></ul>Physical Demands and Activities Required<ul><li>Must be able to remain in a stationary position standing or sitting for prolonged periods of time.</li><li>Must be able to move about inside an office and exert up to 10 pounds of force occasionally or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects.</li><li>Must have visual acuity to perform activities such as: preparing and analyzing data and figures, viewing a computer screen, and extensive reading.</li><li>This position requires repetitive motion, substantial movements (motions) of the wrist, hands, and/or fingers.</li><li>Must be able to communicate with others to exchange information.</li></ul>Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem-solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines.Work EnvironmentThis job operates in a professional workplace or remote office environment and requires standard office equipment and keyboards. Employees who work remotely are expected to maintain their workspace and environment safely and free from safety hazards.#LI-remoteThe annual base salary we reasonably expect to pay is listed. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of the role, job duties/requirements, and relevant education, experience and skills.Pay Transparency$175,000-$200,000 USDThe statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.Iovance is committed to cultivating and offering a diverse and inclusive work environment. As an equal-opportunity employer, our employees and applicants will be considered without regard to an individual's race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. If you need assistance or accommodation to apply to one of our opportunities, please contact careers@iovance.com.By voluntarily providing information and clicking "Submit Application", you explicitly consent to the collection and use of your personal information for the purposes described above and in our Candidate Privacy Notice.

Hybrid Production Jobs in San Jose, CA

Resume Resources

Get noticed by top employers!

Hybrid Production Jobs in San Jose, CA

Staff ML Engineer Samsara Inc.

Principal AI Systems Engineer Iovance Biotherapeutics Inc

Resume Resources