The hiring market has been noisy lately, but that doesn’t mean the good roles aren’t out there. At Bamboo X, we work with early-stage startups and fast-growing companies across product, design, and tech and we’re seeing a real surge in meaningful machine learning and engineering hires this quarter.
This isn’t a list of every open role. These are the ones that stand out—the ones posted by real teams building real things, many with funding, traction, or reputations you’ll actually want to be part of.
Who: Bamboo X
🔗bamboo-x.com
That’s us! Bamboo X is a technical recruiting firm placing top-tier machine learning, AI, and engineering talent at high-growth startups. We have lots of engineering, AI, and Machine Learning opportunities with startups coast-to-coast - get in touch with us today on info@bamboo-x.com
WHO: ABRIDGE
🔗 abridge.com
Abridge is transforming healthcare documentation by using AI to automatically transcribe and structure medical conversations. Trusted by major health systems like UPMC and Sutter Health, Abridge’s platform saves doctors hours per day and improves patient record accuracy. Their work sits at the intersection of cutting-edge NLP and real-world clinical impact.
What they're hiring for: Machine Learning Scientist, NLP (All Levels) – San Francisco Bay Area
👉 Apply here
WHO: ADOBE
🔗 adobe.com
Adobe is integrating advanced AI across its flagship creative tools like Photoshop, Illustrator, and Premiere Pro through Adobe Sensei. Their ML teams develop generative models and intelligent automation for tens of millions of users—from designers to marketers to filmmakers—powering a new era of creativity.
What they're hiring for: Senior Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: AKASA
🔗akasa.com
AKASA brings AI and automation to the chaotic world of healthcare revenue cycles. From prior authorizations to claim status checks, they help providers eliminate back-office bottlenecks with machine learning pipelines tuned for messy, real-world data. Hospitals and health systems nationwide use AKASA to reduce costs and administrative burden.
What they're hiring for: Sr. Machine Learning Engineer — South San Francisco, CA
👉 Apply here
Who: Altos Labs
🔗altoslabs.com
Altos Labs is a biotech company focused on cellular rejuvenation programming. Backed by top-tier scientists and investors, they apply deep learning and large-scale biology to understand aging and regenerative health at the cellular level. Their work aims to radically extend healthspan and redefine what's possible in life sciences.
What they're hiring for: Machine Learning Engineer — San Francisco, CA
👉 Apply here
Who: Anthropic
🔗anthropic.com
Anthropic is an AI research company behind Claude, one of the most advanced large language models available today. Known for its safety-first approach, Anthropic is building foundational AI systems that are steerable, interpretable, and aligned with human intentions. Their team blends cutting-edge research with practical deployments.
What they're hiring for: Machine Learning Systems Engineer, Model APIs — San Francisco, CA
👉 Apply here
Who: Arine
🔗arine.io
Arine is using data science to prevent medication-related problems before they happen. Their AI-driven platform enables personalized medication management, helping care teams reduce hospital readmissions, improve adherence, and close clinical gaps. Arine partners with major health plans and is scaling rapidly across the U.S.
What they're hiring for: Staff Machine Learning Engineer — San Francisco, CA
👉Apply here
Who: Atlassian
🔗atlassian.com
Atlassian builds collaboration tools used by thousands of engineering, product, and design teams—including Jira, Confluence, Trello, and Bitbucket. Their platform supports more than 250,000 customers globally. The ML team works on smart search, issue triaging, and automation to drive productivity across every team that builds software.
What they're hiring for: Principal Machine Learning System Engineer — San Francisco, CA
👉Apply here
Who: Attentive
🔗attentive.com
Attentive is a leader in conversational commerce, powering SMS-first marketing for over 8,000 brands. Their platform helps businesses personalize outreach at scale through AI-driven messaging, segmentation, and automation. The ML team is behind the scenes optimizing delivery, engagement, and revenue lift across billions of interactions.
What they're hiring for: Engineering Manager, Machine Learning — San Francisco, CA
👉Apply here
Who: Aura Intelligence
🔗getaura.ai
Aura is redefining enterprise search and knowledge discovery using AI-powered agents. Their platform understands organizational context and user intent to surface the right data across tools, documents, and workflows. If you're passionate about real-world applications of LLMs and semantic search, Aura offers a frontier playground.
What they're hiring for: Machine Learning Engineer — MLOps Team — San Francisco, CA
Apply here
Who: Autodesk
🔗autodesk.com
Autodesk builds software for architects, engineers, and creatives—think AutoCAD, Maya, and Revit. Their AI teams are bringing generative design, simulation, and automation to life across the built environment, manufacturing, and media. With billions of data points across design workflows, they offer rich ML challenges with global impact.
What they're hiring for: Senior Machine Learning Engineer — San Francisco, CA
Apply here
Who: Baselayer
🔗baselayer.com
Baselayer provides modular data center solutions that power AI infrastructure in extreme environments. Their systems support everything from hyperscale cloud to battlefield-deployed compute. As they evolve toward autonomous infrastructure, their ML team leads anomaly detection, predictive maintenance, and energy optimization at scale.
What they're hiring for: Machine Learning Engineer — San Francisco, CA
Apply here
Who: Block
🔗 block.xyz
Block (formerly Square) is building an open financial ecosystem through products like Square, Cash App, Spiral, and TBD. The ML role sits on their Financial Crimes team—tackling fraud, identity risk, and compliance at scale using real-time inference and graph-based intelligence.
What they're hiring for: Senior Machine Learning Modeler – San Francisco Bay Area
👉 Apply here
Who: Bull AI
🔗 bullai.tech
Bull AI is building financial copilots to help retail investors and finance professionals analyze markets and generate insights through conversational interfaces. Their ML team blends NLP, time series forecasting, and LLM tuning to deliver real-time, actionable intelligence.
What they're hiring for: Machine Learning Specialist – San Francisco Bay Area
👉 Apply here
Who: Calico Life Sciences
🔗 calicolabs.com
Backed by Alphabet, Calico is a research and development company focused on understanding aging and extending lifespan. Their ML scientists work with massive biological datasets—from omics to imaging—to uncover the fundamental science of longevity and therapeutic interventions.
What they're hiring for: Senior ML Research Scientist / Engineer – South San Francisco, CA
👉 Apply here
Who: Cantina Labs
🔗 cantina.com
Cantina Labs is building tools for collective memory and digital cognition. Their ML team explores how people and organizations remember, retrieve, and contextualize knowledge—pushing the boundaries of information recall and system memory with generative AI.
What they're hiring for: ML Engineer, Memory – San Francisco, CA
👉 Apply here
Who: Capital One
🔗 capitalone.com
Capital One isn’t just a bank—it’s one of the leading tech employers in financial services. Their ML tools team builds developer-facing platforms that power experimentation, model training, and deployment for hundreds of internal AI projects.
What they're hiring for: Manager, Product Management – Machine Learning Tools – San Francisco, CA
👉 Apply here
Who: Cash App
🔗 cash.app
Cash App gives people a fast, simple way to send money, invest, and bank. With over 50 million users, their ML team works on everything from credit modeling to behavioral analytics to identity risk. This role helps shape user safety and trust at massive scale.
What they're hiring for: Senior ML Engineer, Modeling – San Francisco Bay Area
👉 Apply here
Who: CentML
🔗 centml.ai
CentML is building optimization tools that make machine learning training faster and cheaper. By tuning low-level compute, they help ML teams run large-scale models with fewer resources—empowering startups and enterprises to iterate and deploy faster.
What they're hiring for: Machine Learning Systems Engineer – San Francisco, CA
👉 Apply here
Who: Chan Zuckerberg Biohub Network
🔗 czbiohub.org
CZ Biohub is a nonprofit research organization supported by Priscilla Chan and Mark Zuckerberg. Their mission is to cure, prevent, or manage all disease. This ML role supports the Computational Microscopy team, advancing cutting-edge research in biomedical imaging and foundation models.
What they're hiring for: ML Scientist, Virtual Staining Models – San Francisco, CA
👉 Apply here
Who: Character.AI
🔗 character.ai
Character.AI is redefining human-AI interaction with customizable AI companions and tools. Their infrastructure powers millions of dynamic conversations daily, blending generative models and personality shaping at scale. Their engineering team builds low-latency systems for real-time AI chat.
What they're hiring for: Software Engineer, ML Infrastructure – San Francisco Bay Area
👉 Apply here
Who: Checkr, Inc.
🔗 checkr.com
Checkr is automating the background check process with AI, making hiring more efficient, inclusive, and scalable for companies like Uber, Instacart, and Netflix. Their platform handles over 30 million background checks annually.
What they're hiring for: Senior Machine Learning Engineer – San Francisco Bay Area
👉 Apply here
Who: Chime
🔗 chime.com
Chime is one of the fastest-growing fintechs in the US, offering no-fee banking services designed to help everyday people build savings and avoid debt traps. Their ML team drives real-time fraud detection, personalization, and credit scoring.
What they're hiring for: Engineering Manager, Machine Learning Platform – San Francisco, CA
👉 Apply here
Who: Coinbase
🔗 coinbase.com
Coinbase is a global crypto platform helping millions access digital assets safely. As one of the most trusted names in Web3, they’re hiring top-tier ML talent to build fraud prevention, customer service tools, and financial intelligence systems.
What they're hiring for: Staff Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Corelight
🔗 corelight.com
Corelight delivers open-source-driven network security tools trusted by government and enterprise teams. Their work blends cybersecurity with real-time ML signal processing to detect threats others miss.
What they're hiring for: Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Curai Health
🔗 curaihealth.com
Curai Health is using AI to deliver high-quality, accessible primary care to more people at lower cost. Backed by top investors and led by AI researchers from Stanford and Google, Curai is on a mission to modernize healthcare delivery using ML across clinical workflows.
What they're hiring for: Machine Learning Researcher – San Francisco Bay Area
👉 Apply here
Who: Databricks
🔗 databricks.com
Databricks pioneered the lakehouse architecture and now helps thousands of teams unify data engineering, analytics, and ML into a single platform. Their ML team supports one of the most widely used data platforms in the world.
What they're hiring for: Senior Developer Advocate, Machine Learning – San Francisco, CA
👉 Apply here
Who: Decagon
🔗 decagon.ai
Decagon builds AI systems for drug discovery and biotech. Their machine learning engineers work at the edge of biology, chemistry, and data to help uncover better treatments, faster.
What they're hiring for: Machine Learning Research Engineer – San Francisco, CA
👉 Apply here
Who: DeepRec.ai
🔗 linktr.ee
DeepRec.ai specializes in personalized recommendations and large-scale content ranking systems. Their ML team focuses on performance optimization for real-time decision systems.
What they're hiring for: Senior Machine Learning Engineer – San Francisco Bay Area
👉 Apply here
Who: Demandbase
🔗 demandbase.com
Demandbase is a leader in account-based marketing (ABM) software, helping B2B companies target, engage, and convert key accounts using real-time data and machine learning.
What they're hiring for: Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Discord
🔗 discord.com
Discord connects over 150 million people every month across voice, video, and chat. It’s a real-time platform for communities, creators, and gaming — and safety is at the core of everything they do. Their ML team leads efforts on content moderation, trust systems, and detection frameworks at scale.
What they're hiring for: Director of Machine Learning, Safety – San Francisco, CA
👉 Apply here
Who: Disney Entertainment
🔗 dgepress.com
Disney Entertainment powers content delivery and personalization across Disney+, Hulu, and ESPN+. Their ML platform team ensures data flows, models, and recommendations serve viewers globally with high performance and accuracy.
What they're hiring for: Senior Manager, Machine Learning Platform – San Francisco, CA
👉 Apply here
Who: DoorDash
🔗 careersatdoordash.com
DoorDash operates one of the most complex logistics networks in the world. Their ML teams optimize pricing, delivery ETAs, and personalized recommendations for tens of millions of users — in real time.
What they're hiring for: Senior Software Engineer, Machine Learning – Consumer ML – San Francisco, CA
👉 Apply here
Who: Edo
🔗 edoenergy.com
Edo builds intelligent energy solutions that help utilities manage demand and sustainability goals. Their ML platform supports grid insights, energy forecasting, and decarbonization planning.
What they're hiring for: Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Ensemble AI
🔗 ensemblecore.ai
Ensemble AI is an applied AI company tackling agent-based workflows and decision-making across industries. They’re a small team doing hard work on foundation models and memory-efficient systems.
What they're hiring for: Machine Learning Engineering Intern – San Francisco Bay Area
👉 Apply here
Who: Equilibrium Energy
🔗 equilibriumenergy.com
Equilibrium is rethinking how we optimize the electric grid. Their AI-native tools help grid operators and market participants make cleaner, smarter, more reliable decisions in energy dispatch and forecasting.
What they're hiring for: Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: EvenUp
🔗 evenuplaw.com
EvenUp provides legal tech that helps personal injury attorneys generate fair and evidence-backed settlement demands using AI. Their tools are transforming access to justice through automation and data.
What they're hiring for: Staff Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Faire
🔗 faire.com
Faire is a wholesale marketplace connecting indie brands with local retailers. Their personalization and ad platforms use ML to drive over $10 billion in GMV. This role is part of the team shaping buyer recommendations and revenue growth.
What they're hiring for: Senior Data Scientist / ML Engineer – Personalization – San Francisco, CA
👉 Apply here
Who: Faire
🔗 faire.com
Faire is a wholesale marketplace helping independent brands and retailers thrive. They use ML to power discovery, personalization, inventory prediction, and ads—solving deep logistics and matching problems at scale. With a global footprint and Series G funding, they’re actively scaling their ML infrastructure.
What they're hiring for: Staff Data Scientist / ML Engineer – Ads – San Francisco, CA
👉 Apply here
Who: Fieldguide
🔗 fieldguide.io
Fieldguide is a workflow automation and AI platform purpose-built for risk and audit teams in accounting. Their tech enables faster financial audits and risk assessments, and they're backed by top firms including 8VC and Accel.
What they're hiring for: Senior Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: FullStack Labs
🔗 fullstacklabs.co
FullStack Labs is a custom software consultancy with a strong LATAM presence. They build and ship ML, AI, and full-stack web apps for Fortune 500s and fast-growing startups alike. This is a remote-first team with strong developer culture.
What they're hiring for: Senior AI/ML Engineer (Remote – Latin America) – San Francisco, CA / Dominican Republic
👉 Apply here
Who: GoFundMe
🔗 gfme.co
GoFundMe powers one of the world’s largest social fundraising platforms, helping people raise over $15 billion for causes that matter. Their ML team works on fraud detection, campaign insights, and donor matching at massive scale.
What they're hiring for: Senior Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Greylock
🔗 greylock.com
Greylock is one of Silicon Valley’s most respected VC firms and is now building in-house AI products to support their founders. Their ML roles are deep in LLM fine-tuning, retrieval-augmented generation, and internal tooling for deal analysis.
What they're hiring for: Senior ML Engineer (LLM & RAG) – San Francisco, CA
👉 Apply here
Who: Gusto
🔗 gusto.com
Gusto is a leading people platform that helps small businesses manage payroll, benefits, HR, and compliance. With over 300,000 customers, their ML systems power everything from tax calculations and fraud prevention to smart onboarding tools and predictive analytics for employee well-being.
What they're hiring for: Head of Machine Learning and AI – San Francisco Bay Area
👉 Apply here
Who: Happy Elements
🔗 happyelements.com
Happy Elements is a mobile game developer best known for the hit series Ensemble Stars. Their teams apply machine learning to game personalization, player behavior prediction, and real-time content generation to enhance player engagement at scale.
What they're hiring for: Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Hedra
🔗 hedra.com
Hedra is building developer tools that simplify model deployment, observability, and testing for machine learning systems. Their tools help ML teams scale faster by removing infrastructure bottlenecks in production environments.
What they're hiring for: Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Hibernates AI
🔗 (LinkedIn only)
Hibernates AI is an early-stage startup developing infrastructure for long-context LLMs. They're tackling the limitations of short-context transformers to support agents and applications that require persistent memory over time.
What they're hiring for: Founding Machine Learning Engineer – San Francisco Bay Area
👉 Apply here
Who: Jingo
🔗 jingo.app
Jingo is building the first AI-native calendar that adapts to your priorities. It automatically organizes meetings, tasks, and deep work around how you want to work — blending scheduling intelligence with human intent.
What they're hiring for: Principal Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Kikoff
🔗 kikoff.com
Kikoff offers credit-building tools designed to help users improve their scores without taking on debt. Their ML team powers credit modeling, risk scoring, and personalization for millions of financially underserved users.
What they're hiring for: Member of Technical Staff – Machine Learning – San Francisco, CA
👉 Apply here
Who: Klaviyo
🔗 klaviyo.com
Klaviyo is a leading marketing automation platform for ecommerce brands. Their ML team works on targeting, recommendations, and customer lifetime value models across billions of email and SMS events.
What they're hiring for: Senior Engineering Manager – Machine Learning – San Francisco, CA
👉 Apply here
Who: Lensa
🔗 lensa.com
Lensa is a job-matching platform using AI to help job seekers discover relevant roles while enabling employers to surface the best-fit talent. Their optimization team is focused on better matchmaking and hiring funnel intelligence.
What they're hiring for: Machine Learning – Optimization (Remote or Hybrid) – San Francisco, CA
👉 Apply here
Who: Lightfield
🔗 lightfield.app
Lightfield is a GenAI platform helping teams turn natural language into high-quality product experiences, content, and UI logic. They're building infrastructure for multimodal agentic workflows.
What they're hiring for: ML Engineer, GenAI Platform – San Francisco, CA
👉 Apply here
Who: Lily AI
🔗 lily.ai
Lily AI helps retailers and brands connect shoppers to the products they actually want using deep product attribution and AI-powered personalization. Their ML team builds the infrastructure powering on-site search, recommendations, and trend insights.
What they're hiring for: Staff Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Liquid AI
🔗 liquid.ai
Liquid AI is a stealth-mode AI research company founded by MIT faculty and backed by top investors. Their focus is on building foundational models that support smarter infrastructure and novel training architectures.
What they're hiring for: Member of Technical Staff – ML Engineer, Training Infrastructure – San Francisco, CA
👉 Apply here
Who: Lyft
🔗 lyft.com
Lyft’s recommendation systems drive the customer experience across pricing, route selection, and promotions. Their ML team ships real-time models to millions of riders and drivers, optimizing for engagement, satisfaction, and efficiency.
What they're hiring for: Senior ML Engineer – Recommendations – San Francisco County, CA
👉 Apply here
Who: Material Security
🔗 material.security
Material Security protects enterprise email accounts by turning the inbox into a secure, monitored workspace. Their ML stack detects phishing, identity compromise, and targeted attacks in cloud environments.
What they're hiring for: Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: MeshyAI
🔗 meshy.ai
Meshy builds generative AI tools that turn text into 3D models for games, virtual worlds, and product prototyping. They're solving hard problems in diffusion models, texture generation, and fast rendering.
What they're hiring for: Machine Learning Engineer – San Francisco Bay Area
👉 Apply here
Who: Moveworks
🔗 moveworks.ai
Moveworks is a conversational AI platform for enterprise operations. Their ML systems power NLU, semantic search, and multilingual understanding for companies like Autodesk, Broadcom, and DocuSign.
What they're hiring for: Senior Machine Learning Engineer – NLU & Agentic AI – San Francisco, CA
👉 Apply here
Who: NewLimit
🔗 newlimit.com
NewLimit is a biotech startup applying epigenetic reprogramming to reverse aging-related cellular changes. Their ML team works at the intersection of genomics, machine learning, and therapeutic discovery to push aging science forward.
What they're hiring for: Group Leader, Machine Learning – South San Francisco, CA
👉 Apply here
Who: Nextdoor
🔗 nextdoor.com
Nextdoor is the neighborhood network where people connect to local services, businesses, and events. Their ML team builds the recommendation, trust, and ranking infrastructure powering real-time community interactions.
What they're hiring for: Machine Learning Engineer – Infrastructure – San Francisco, CA
👉 Apply here
Who: Notion
🔗 notion.com
Notion blends docs, databases, and collaboration into a unified productivity platform. Their ML team focuses on AI-assisted workflows, content generation, and semantic search across massive knowledge graphs.
What they're hiring for: Software Engineer, Machine Learning – San Francisco, CA
👉 Apply here
Who: Novaprime
🔗 novaprime.com
Novaprime is developing agentic AI assistants for engineering and product teams. They're building foundational tools that turn natural language into production-ready product specs and UI flows.
What they're hiring for: Lead Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Nudge
🔗 nudge.com
Nudge provides behavioral coaching software for frontline employees in sectors like healthcare and retail. Their ML team builds models for habit formation, engagement tracking, and intelligent nudging at scale.
What they're hiring for: Software Engineer, Machine Learning – San Francisco, CA
👉 Apply here
Who: Ocular AI (YC W24)
🔗 useocular.com
Ocular AI is an early-stage YC company building AI agents that can watch and understand video feeds in real time for security and operations. They focus on scalable perception systems and multimodal model deployment.
What they're hiring for: Founding ML Engineer – San Francisco, CA
👉 Apply here
Who: Okta
🔗 okta.com
Okta is a global leader in identity and access management. Their GenAI team builds ML-powered authentication, anomaly detection, and customer identity features used by thousands of enterprises worldwide.
What they're hiring for: Senior ML Engineer – Generative AI (Customer Identity) – San Francisco, CA
👉 Apply here
Who: Onos Health
🔗 onoshealth.com
Onos is building AI-based clinical decision tools for primary care providers. Their platform helps clinicians navigate complex diagnoses with guidance from real-time medical knowledge graphs.
What they're hiring for: Lead Engineer (ML) – San Francisco, CA
👉 Apply here
Who: OpenAI
🔗 openai.com
OpenAI builds frontier AI models like GPT-4 and DALL·E, with a mission to ensure AGI benefits all of humanity. The Integrity team uses ML to detect abuse, misuse, and policy violations across its tools.
What they're hiring for: Machine Learning Engineer, Integrity – San Francisco, CA
👉 Apply here
Who: Pave
🔗 pave.com
Pave is a compensation data platform helping companies benchmark, plan, and communicate pay with clarity. Their ML team works on salary modeling, equity forecasting, and talent insights used by hundreds of high-growth companies.
What they're hiring for: Machine Learning Engineer – San Francisco Bay Area
👉 Apply here
Who: PayJoy
🔗 payjoy.com
PayJoy offers smartphone financing and digital lending in emerging markets using alternative data. Their ML infrastructure underpins fraud detection, credit risk scoring, and device-level behavioral modeling.
What they're hiring for: Staff Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Perplexity
🔗 perplexity.ai
Perplexity is redefining search with an AI-native interface that cites sources and synthesizes results. Their ML team works on retrieval, ranking, and real-time personalization across billions of queries.
What they're hiring for: AI ML Engineer – Personalization – San Francisco Bay Area
👉 Apply here
Who: Pinterest
🔗 pinterest.com
Pinterest is a visual discovery engine for over 450 million users. The User Understanding team leverages ML to map taste, intent, and style across boards, pins, and activity patterns to serve personalized content at scale.
What they're hiring for: Sr. Manager, ML Engineering – User Understanding – San Francisco, CA
👉 Apply here
Who: Plaid
🔗 plaid.com
Plaid connects fintech apps like Venmo and Robinhood to users' bank accounts securely. Their ML team supports fraud detection, income estimation, and bank linking infrastructure across millions of users.
What they're hiring for: Experienced Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Plenful
🔗 plenful.com
Plenful uses automation and AI to help healthcare teams manage repetitive workflows like prior authorizations, referrals, and charting. Their ML tools streamline admin work so clinicians can focus on care.
What they're hiring for: Senior Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Primer.ai
🔗 primer.ai
Primer builds AI tools for defense and intelligence agencies to analyze large volumes of data, detect threats, and generate reports. They work at the cutting edge of NLP, knowledge graphs, and real-time decision support.
What they're hiring for: Staff Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Replicate
🔗 replicate.com
Replicate makes it easy to run and deploy machine learning models in the cloud using a simple API. They support open-source model deployment and are powering the infrastructure behind many AI-powered apps and services.
What they're hiring for: Software Engineer – ML Platform – San Francisco, CA
👉 Apply here
Who: Rippling
🔗 rippling.com
Rippling unifies employee data and workflows across HR, IT, and finance. Their ML team builds intelligent automation and analytics to streamline global workforce management at scale.
What they're hiring for: Staff Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Sahara AI
🔗 saharalabs.ai
Sahara AI is developing next-gen intelligent agents for enterprise workflows. Their work combines LLM orchestration with custom reinforcement learning systems for business automation.
What they're hiring for: Senior Machine Learning Engineer – San Francisco, CA
👉 Apply here
Who: Salesforce
🔗 salesforce.com
Salesforce AI Research drives innovation across Einstein, the company’s generative AI suite. Their ML team publishes cutting-edge research and production models that serve hundreds of thousands of businesses globally.
What they're hiring for: Senior ML Engineer – AI Research – San Francisco, CA
👉 Apply here
Who: Scale AI
🔗 scale.com
Scale AI provides the data infrastructure behind some of the world’s leading AI models. Their GenAI Quality team evaluates and optimizes output across LLMs, vision systems, and RLHF pipelines.
What they're hiring for: ML Engineer – GenAI Quality – San Francisco Bay Area
👉 Apply here
Who: Sift
🔗 sift.com
Sift helps digital businesses prevent fraud and abuse using machine learning. Their platform powers identity trust across login, payment, and account recovery workflows.
What they're hiring for: Principal ML Architect – San Francisco, CA
👉 Apply here
Who: SignalFire
🔗 signalfire.com
SignalFire is a data-driven venture fund with an in-house platform team that builds hiring tools, market insights, and AI infrastructure to support founders.
What they're hiring for: Staff ML Engineer – VC-Backed Startups – San Francisco, CA
👉 Apply here
Who: Skild AI
🔗 skild.ai
Skild AI is building advanced robotic agents that learn via reinforcement learning and simulation. Their ML team works on policy training, real-time control, and low-latency inference.
What they're hiring for: ML Engineer – Reinforcement Learning – San Francisco Bay Area
👉 Apply here
Who: Skyrocket Ventures
🔗 skyrocketventures.com
Skyrocket Ventures connects top talent to stealth-mode and hypergrowth startups. This role is with a voice AI company backed by top VCs, focusing on real-time speech interaction.
What they're hiring for: Founding ML Engineer – Voice AI – San Francisco Bay Area
👉 Apply here
Who: Slack
🔗 slack.com
Slack is where work happens. Their ML team is leading efforts in RAG (retrieval-augmented generation), powering contextual AI across Slack’s vast knowledge graph and chat history.
What they're hiring for: ML Engineer – RAG – San Francisco, CA
👉 Apply here
Who: Snap Inc.
🔗 snap.com
Snap is a camera company best known for Snapchat, Spectacles, and Bitmoji. Their ML teams build immersive ad formats, real-time AR filters, and now apply generative AI to transform the ad ecosystem.
What they're hiring for: Principal ML Engineer – Generative AI for Ads – San Francisco, CA
👉 Apply here
Who: Snorkel AI
🔗 snorkel.ai
Snorkel is pioneering programmatic data labeling and weak supervision. Their platform helps enterprises rapidly train and deploy custom AI using minimal labeled data.
What they're hiring for: ML Solutions Engineer (Pre-Sales) – San Francisco, CA
👉 Apply here
Who: Storytime
🔗 storytime.land
Storytime is building AI-native entertainment tools. Their ML engineers are creating pipelines for generative story creation, visual synthesis, and interactive storytelling engines.
What they're hiring for: ML Engineer – San Francisco, CA
👉 Apply here
Who: Stripe
🔗 stripe.com
Stripe powers payments for the internet. Their Capital team builds ML models to underwrite and deploy funding to businesses worldwide, optimizing cash flow with predictive insights.
What they're hiring for: ML Engineer – Stripe Capital – San Francisco, CA
👉 Apply here
Who: Substack
🔗 substack.com
Substack empowers writers and creators to build independent media businesses. Their ML team supports discovery, ranking, and reader engagement systems across a fast-growing ecosystem.
What they're hiring for: ML Engineer – San Francisco, CA
👉 Apply here
Who: Tempus AI
🔗 tempus.com
Tempus is a precision medicine company using AI to improve patient outcomes in oncology, cardiology, and beyond. Their pathology team uses ML to analyze medical imaging and digital slide data.
What they're hiring for: ML Scientist – Digital Pathology – San Francisco, CA
👉 Apply here
Who: Together AI
🔗 together.ai
Together AI is building open-source foundation models and scalable cloud infrastructure for training and serving LLMs. They’re a core contributor to open-source ML ecosystems like OpenChat and RedPajama.
What they're hiring for: Director of ML – San Francisco, CA
👉 Apply here
Who: Tome
🔗 tome.app
Tome is an AI-native storytelling format for work. Their ML team works on real-time layout generation, image synthesis, and text-to-slide generation.
What they're hiring for: ML Engineer – San Francisco, CA
👉 Apply here
Who: Tubi
🔗 tubitv.com
Tubi offers free, ad-supported streaming to millions. Their ML team optimizes recommendations, ad targeting, and content licensing through predictive modeling and user segmentation.
What they're hiring for: Principal ML Engineer – San Francisco Bay Area
👉 Apply here
Who: TurbineOne
🔗 turbineone.com
TurbineOne builds battlefield-ready AI tools that can be deployed with zero internet. Their ML systems process video, drone footage, and other sensor inputs at the edge.
What they're hiring for: ML Engineer – San Francisco, CA
👉 Apply here
Who: Twelve Labs
🔗 twelvelabs.io
Twelve Labs builds video-understanding foundation models. Their ML stack enables real-time multimodal search, summarization, and tagging across massive video libraries.
What they're hiring for: Software Engineer, ML – San Francisco, CA
👉 Apply here
Who: Uber
🔗 uber.com
Uber’s pricing and incentive systems are among the most complex in tech. Their ML team powers dynamic pricing, user retention, and incentive distribution across mobility and delivery markets.
What they're hiring for: Senior ML Eng Manager – Pricing & Incentives – San Francisco, CA
👉 Apply here
Who: Unity
🔗 unity.com
Unity powers real-time 3D development across gaming, automotive, film, and more. Their ML Ops team ensures scalable model training and deployment in large simulation environments.
What they're hiring for: Senior ML / MLOps Engineer – San Francisco, CA
👉 Apply here
Who: Wanderboat AI
🔗 wanderboat.ai
Wanderboat is an early-stage company building AI-native tools for generative content and multimodal agents. They’re focused on real-time personalization and adaptive LLMs.
What they're hiring for: ML Engineer – San Francisco, CA
👉 Apply here
Who: Warner Bros. Discovery
🔗 wbd.com
Warner Bros. Discovery is applying AI to enhance viewer experiences across HBO Max, CNN, and Discovery+. Their ML platform team builds infrastructure for streaming analytics, personalization, and content tagging.
What they're hiring for: Senior ML Engineer – ML Platform – San Francisco, CA
👉 Apply here
Who: Waymo
🔗 waymo.com
Waymo leads autonomous vehicle development with billions of miles logged in simulation and real-world environments. Their ML team covers perception, behavior prediction, and reinforcement learning.
What they're hiring for: Director of Engineering, ML – San Francisco Bay Area
👉 Apply here
Who: Yelp
🔗 yelp.com
Yelp helps consumers find great local businesses. Their content intelligence team uses ML to detect review fraud, recommend businesses, and surface trustworthy contributors.
What they're hiring for: Staff ML Engineer – Content & Contributor Intelligence – Remote (United States)
👉 Apply here
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