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Staff Machine Learning Scientist Jobs

7,423 active opportunities · Updated for October 2026

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Explore current staff machine learning scientist jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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PlayStation Global
📍 San Mateo, Canada• $200.1K – $300.1K/yr
1mo ago

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Product Analyst, Product Analytics San Mateo, Los Angeles, or San Diego, United States This role will serve as a strategic analytics lead across multiple product and business areas, partnering closely with Product, Engineering, Data Science, Analytics Engineering, Finance, and other cross-functional teams. The Staff Product Analyst will be responsible for identifying long-term monetization and product growth opportunities, shaping product strategy through data-driven insights, and establishing scalable measurement frameworks that support decision-making across initiatives. Responsibilities Serve as a strategic analytics thought partner , using data to shape product strategy, challenge assumptions, identify opportunities and risks, and influence key decisions. Lead analytics strategy for complex product areas , partnering with Product, Engineering, Business, and Data teams to translate strategic objectives into KPIs, targets, measurement frameworks, and actionable insights. Lead measurement and experimentation strategy , including A/B testing and causal inference approaches, ensuring rigorous methodologies are applied to evaluate product impact and inform investment and launch decisions. Own complex, ambiguous analytics initiatives end to end , defining the a

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Reddit
📍 United States• Remote• $217K – $303.9K/yr
1mo ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Infrastructure organization enables Reddit to deliver reliability, performance, and efficiency with a single opinionated technology stack. The Ingestion Platform team within Infrastructure builds a low-code interface for moving data from supported sources to supported sinks, making it easier for teams across Reddit to create reliable, scalable data pipelines without building and operating bespoke infrastructure. Our platform supports streaming and batch data movement from Kafka to destinations such as BigQuery and object storage, and is expanding toward S3/GCS, Apache Iceberg, transformations, deduplication, and additional sinks. We work closely with Data Pipelines, Data Movement, Ads Data Platform, ML Indexing, Flink Platform, Storage, and other partner teams to improve developer velocity, reliability, observability, and operational efficiency. We are looking to hire a Staff Software Engineer to help shape and scale this platform. This is a high-impact role where your technical judgment, customer empathy, and operational mindset will influence the future direction of data movement at Reddit. What You’ll Do: As a Staff Engineer, you will lead the development and evolution of Reddit’s Ingestion Platform. Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency. Own the architecture and evolution of the platform’s control plane and data plane, includ

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Pinterest
📍 San Francisco• Full-time• Remote• $145.7K – $300.1K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is looking for a Staff Qualitative researcher to play a crucial role in the Pinterest monetization team to scope, execute research and uncover insights. We are looking for a talented and creative storyteller who ideally has had experience working in B2B, digital e-commerce or advertising experiences and who can bring actionable insights to life to drive product impact What you’ll do: Scope, prioritize, execute research using various qualitative methodologies for one or more sub areas of the monetization product Identify and articulate gaps in our understanding of the monetization products they support that can (directly or indirectly) impact our products Collaborates effectively with researches across Pinterest and builds strong relationships as a strategic thought partner with key senior cross functional partners (across

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Eve
📍 United States• Remote• $226K – $265K/yr
1mo ago

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. The Role We're hiring a Staff Analytics Engineer to own Eve's go-to-market data model and set the standard the rest of the analytics engineering team works inside. The number of people asking the data a question is growing faster than the business, and the business is doubling. Today the same question can produce different answers depending on who asks and which tool they open. Your job is to make every core GTM metric resolve to one governed definition: pipeline generated, funnel conversion, CAC, win rate, sales cycle length, ARR and bookings, modeled in the warehouse and semantic layer from HubSpot, DealHub, Apollo, and Clay rather than inside those tools. As the Staff engineer, GTM is your domain but not your limit. You'll own

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Zoox
📍 Foster City• Full-time• $226K – $311K/yr
1mo ago

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 artificial intelligence, robotics, 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. As a Staff Compute & Controls Systems Engineer in Advanced Hardware Engineering (AHE), you will be responsible for developing and documenting requirements for compute and control system modules, while also driving key functional safety analyses for our compute platforms. You will work across departments at Zoox to build a system-level understanding of how AHE hardware enables critical operational functions, and you will lead the Compute Safety Analysis (FMEDA) that ensures those functions fail safely. You will work closely with hardware and software architects, and with design, safety, manufacturing, and test engineers, to ensure requirements are verified throughout the engineering development process. Your assessments will be critical to meeting milestones as we develop new generations of hardware. In this role, you will: Apply compute, controls, and systems engineering principles to define traceable computing requirements from product goals Engage with product, HW/SW engineering, production, safety, and business teams to author detailed requirements for compute and control modules. Analyze tradeoffs and drive consensus with product, hardware, and software teams to converge on compute architecture for current and new vehicle platforms. Gather and analyze critical data to define metrics, qualify systems for release, and influence system design decisions based on evidence-based insights. Create and maintain clear, precise documentation to support system designs, architectural decisions, an

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Affirm
📍 Canada• Remote• $173K – $233K/yr
1mo ago

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforc

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1mo ago

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforc

REMOTEpythonawskubernetes
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Smartsheet
📍 Bengaluru• Full-time
1mo ago

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You Will: Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Perform other duties as assigned You Have: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of experience in data engineering or a similar role. Enterprise SaaS software solutions with high availability and scalability Solution handling large scale structured and unstructured data from varied data sources Experience in building and maintaining data platform systems such as distributed compute,

pythonjavasql
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Wealthsimple
📍 Canada• Full-time• Remote
1mo ago

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the role We're hiring a Staff Content Designer to be the voice of investing at Wealthsimple. The person who takes calendar spreads and margin calls and makes them make sense, without dumbing it down or drowning it with jargon. You’ll be embedded on product teams and partner closely with design, product, and engineering to build experiences that our clients love. This isn't a polish-the-copy-at-the-end role. You'll be in the room shaping what we build and how to position our products — not just the final words on the screen. What you'll do Write the hard stuff. Options, margin trading, predictions, perpetuals, futures — you'll write and rewrite the content so it all makes sense to a first-time investor and a seasoned trader. Work AI-first. From shipping your own code changes to prototyping and research — you’ll use AI to increase your impact in every part of the product lifecycle. Collaborate with product and design on key initiatives. You’ll work early and often with product and design to shape the product direction for big, challenging projects — not just tighten the copy once the decisions are already made. Make the team faster and better, not just yourself. Templates, patterns, content standards, workflows, and of course AI. You’ll find ways to automate processes to scale content while ensuring quality. Skills you bring 7+ years in c

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1mo ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a p

pythonailogistics
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Datadog
📍 New York• $244K – $305K/yr
1mo ago

Staff Software Engineer - Frontend - New York City Datadog’s Staff Engineers are our technical leaders operating at the forefront of technology, building solutions that take us through at least our next five years of growth. They do this in three major ways: As individual contributors, they bring world-class technical abilities to deliver industry-leading systems in areas such as data visualization, virtual runtime profiling, and planet-scale streaming. As technical leaders, they bring experienced technical breadth and communication skills to tackle design and architectural problems spanning the organization, charting the right course, and then leading delivery. In both roles, they participate in the staff engineering community and help us learn from what the industry is doing and what we've built before, and so improving company-wide standards around software and systems engineering. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Use your expertise to design and deliver technology that will power the next generation of products Coach and develop engineers at various levels, from new university graduates to senior engineers with years of industry experience Leading redesigns of significant parts of the Datadog product and website Owning core customer experiences, including the first-time user experience. Who You Are: 10+ years of relevant engineering experience 4+ years of technical leadership experience, including both effective communication of complex concepts and experience coordinating across teams to ship critical products Running a high volume of experimentation and iteration cycles (A/B testing). Strong UI/UX intuition, adept at working closely with product design and

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Heterogeneous Integration Group (HIG) sits within the Technology and Products Group (TPG). We are developing High Bandwidth Memory (HBM) solutions for AI and ML applications! We stack multiple DRAM chips on a high-speed memory controller using TSV (Through Silicon Via) technology, dramatically increasing memory density and bandwidth. Our designs span custom digital and RTL2GDS flows, and we are targeting the lowest power per bit in the industry. Join us as a Staff Verification Architect and shape modular, scalable verification solutions for next-generation HBM DRAM products across multiple customer platforms! You will be part of a highly multi-functional team of technical domain experts. You will collaborate closely with Design Engineering, Product Engineering, Business Units, and external customer teams to ensure our future HBM roadmap is successful. You will apply your thorough understanding of testbench architecture, custom and SoC verification methodologies, and 2.5D & 3D package integration to analyze bottlenecks and propose innovative solutions targeting scalability, quality, and verification cycle time. Responsibilities: Deliver high-quality, on-time verification plans and architecture collateral across IP-level and SoC-level verification, and develop turnkey solutions for future designs based on look-ahead information from customers and the architecture team Drive co-verification through direct customer interactions, and mentor early-career engineers to strengthen team capability and tech

airecruitment
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Summary: We are currently experiencing a ground-breaking period in artificial intelligence (AI), where AI is anticipated to become an integral component of daily life. This proliferation is being fueled by advances in memory and compute technologies. High bandwidth memory (HBM) is at the forefront of these innovations. Micron’s Advanced Packaging Technology Development (APTD) is responsible to deliver package development for high performance memory products and transfer to manufacturing . We are looking for an Advanced Packaging Integration Engineer to join our Advanced Packaging Technology Development (APTD) team! Your responsibilities include but are not limited to developing and enabling deployment of advanced packaging technologies to meet performance, cost, manufacturability, quality, reliability and schedule requirements. You will also be required to identify, diagnose, and propose yield

pythonsqlartificial intelligence
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Summary: We are currently experiencing a ground-breaking period in artificial intelligence (AI), where AI is anticipated to become an integral component of daily life. This proliferation is being fueled by advances in memory and compute technologies. High bandwidth memory (HBM) is at the forefront of these innovations. Micron’s Advanced Packaging Technology Development (APTD) is responsible to deliver package development for high performance memory products and transfer to manufacturing . Your responsibilities include but are not limited to developing and enabling deployment of assembly processes for advanced packaging technologies to meet performance, cost, manufacturability, quality, reliability and schedule requirements. You will have opportunity to work with peers and partners across organizations to coordinate the development and launch of new technologies and integration fl

pythonsqlartificial intelligence
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Summary: We are currently experiencing a ground-breaking period in artificial intelligence (AI), where AI is anticipated to become an integral component of daily life. This proliferation is being fueled by advances in memory and compute technologies. High bandwidth memory (HBM) is at the forefront of these innovations. Micron’s Advanced Packaging Technology Development (APTD) is responsible to deliver package development for high performance memory products and transfer to manufacturing . We are looking for an Advanced Packaging Metrology-RDA Engineer to join our Advanced Packaging Technology Development (APTD) team! Your responsibilities include but are not limited to developing and enabling innovative inspection and metrology techniques to enable advanced packaging technologies. You will also be required to identify , diagnose, and propose y

pythonsqlartificial intelligence
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