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Machine learning engineer Jobs in Oakland ca

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Machine learning engineer • oakland ca

Last updated: 7 days ago

Engineering Manager, Machine Learning

SentrySan Francisco, CA, United States
$220,000.00–$280,000.00 yearly
Full-time

Software runs the world and the pace is faster than ever.Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time build... Show more

Machine Learning Platform Engineer, Machine Learning (ML) and Artificial Intelligence (AI)

Parallel PartnersSan Francisco, California, United States
Remote
Full-time

Machine Learning Platform Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home.As the Machine Learning Platform Engineer, you will build the infrastructure and ... Show more

Senior Machine Learning Research Engineer

AI Talent NowSan Francisco, CA, us
Full-time

We are looking for a Machine Learning Research Engineer with 5+ years of experience (PhD + 1 year industry, or 5 years industry with publications) to own the full lifecycle of ML research and devel... Show more

Machine Learning Software Engineer Intern - Summer 2027

RipplingSan Francisco, California, United States, 94104
Full-time
Quick Apply

Rippling gives businesses one place to run HR, IT, and Finance.It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and co... Show more

Engineering Manager, Machine Learning - Credit Risk

StripeSan Francisco, CA, United States
Full-time

Engineering Manager, Machine Learning Credit Risk.Stripe is a financial infrastructure platform for businesses.Millions of companies from the world's largest enterprises to the most ambitious start... Show more

Machine Learning Engineer / UNICORN / Hybrid in SF

Motion RecruitmentSan Francisco, California, United States
Full-time

A health technology company at the top of their industry is seeking a Machine Learning Engineer to join its research and development team.This full-time opportunity offers the chance to build advan... Show more

Postdoctoral Researcher Scientific Machine Learning & Computational Chemistry

Berkely LabBerkeley, CA, United States
$29.80–$36.42 hourly
Full-time

Materials And Logistics Specialist.Lawrence Berkeley National Laboratory is hiring a Materials And Logistics Specialist to support the Advanced Light Source Upgrade, or ALS-U, Project.The Advanced ... Show more

Machine Learning Research Manager

Rad AISan Francisco, CA, United States
Full-time

Machine Learning Research Manager.We're looking for a Machine Learning Research Manager to lead a dedicated, high-impact team of applied and clinical researchers working at the intersection of clin... Show more

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, United States
Full-time

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi... Show more

Machine Learning Engineer - Infrastructure

Transparent Search GroupSan Francisco, California, United States
Full-time
Quick Apply

Machine Learning Engineer - Infrastructure.San Francisco, CA (South Park office, in person 5 days per week; relocation provided).Visa transfers; can sponsor visas.Causal Labs is pursuing general ca... Show more

Machine Learning Manager

HiveSan Francisco, CA, United States
$180,000.00–$250,000.00 yearly
Full-time

In order to execute our vision, we're constantly growing our machine learning team.We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their... Show more

Postdoctoral Researcher - Scientific Machine Learning & Computational Chemistry

University of CaliforniaSan Francisco, CA, United States
$29.80–$36.42 hourly
Full-time

Postdoctoral Researcher Scientific Machine Learning & Computational Chemistry.Lawrence Berkeley National Laboratory is hiring a Materials and Logistics Specialist to support the Advanced Light Sou... Show more

Senior Staff Machine Learning Platform Engineer

FaireRemote - US; San Francisco, CA
Remote
Full-time

Note: This role can also be performed remotely for candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Main... Show more

Engineering Manager, Machine Learning (Safety)

DiscordSan Francisco, CA, United States
Full-time

Engineering Manager, Machine Learning (Safety).Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there's one thing that n... Show more

Director / Senior Director, Machine Learning for Biology

Altos LabsSan Francisco, CA, United States
Full-time

Director / Senior Director, Machine Learning for Biology.San Diego, CA; San Francisco Bay Area, CA.Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease,... Show more

Machine Learning Engineering Manager, Chemistry & Process Engineering

Mariana MineralsSan Francisco, CA, United States
Full-time

Machine Learning Engineering Manager.Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies.We'r... Show more

Postdoctoral Researcher Scientific Machine Learning & Computational Chemistry

Lawrence Berkeley National LaboratoryBerkeley, CA, United States
$29.80–$36.42 hourly
Full-time

Postdoctoral Researcher Scientific Machine Learning & Computational Chemistry - 107376.Lawrence Berkeley National Laboratory is hiring a Materials and Logistics Specialist to support the Advanced ... Show more

Machine Learning Engineer - Remote

YO AI LabsSan Francisco, CA, USA
Remote
Full-time
Quick Apply

AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using.You will design reproducible environments, deterministic veri... Show more

Machine Learning Director

PayJoySan Francisco, CA, United States
Full-time

PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success.Our patented tech... Show more

Senior Product Manager, Machine Learning

BatonSan Francisco, CA, United States
$190,000.00–$240,000.00 yearly
Full-time

Senior Product Manager, Machine Learning.Hayes Valley, San Francisco, CA.We're looking for a visionary Senior Product Manager to own the product strategy for Baton's Machine Learning pod.Baton's ML... Show more

Engineering Manager, Machine Learning

Engineering Manager, Machine Learning

SentrySan Francisco, CA, United States
30+ days ago
Salary
$220,000.00–$280,000.00 yearly
Job type
  • Full-time
Job description

About Sentry

Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.

Trusted by 200,000+ organizations, Sentry is today's application monitoring standard and our team is building its AI-native future.

About the Role

AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix.

We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day.

In This Role You Will

  • Set technical direction across the team's full ML surface area from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems and make sharp calls about which approach fits each problem

  • Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability

  • Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems

  • Define team roadmap and deliverables, scope work, allocate resources, and keep execution on track against ambitious goals

  • Partner with product managers, designers, and engineering leaders across Sentry to identify the highest-impact opportunities for ML in our products

  • Foster career growth for the engineers on your team, and recruit exceptional ML talent as the team scales

You'll Love This Role If You

  • Have a strong ML engineering background that you use to inform and validate the team's technical decisions, and you're comfortable staying close to the code

  • Are excited to shape how AI and developer tools come together, and want to define how engineers and coding agents collaborate to find and fix problems

  • Are driven by impact and want to lead a team working on high-stakes, high-visibility projects

  • Love building things from the ground up the ML team is still in its early chapters, and there's plenty of greenfield to shape

  • Thrive in cross-functional environments and enjoy collaborating across product, design, and engineering to ship great work

  • Care deeply about growing the engineers around you and finding opportunities for them to do the best work of their careers

Qualifications

  • 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production

  • 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams

  • Familiarity with deploying and operating ML models at scale, including evaluation, monitoring, and iteration in production

  • Strong judgment in ambiguous, fast-moving environments

  • Excellent written and verbal communication; comfortable working across product, research, and engineering

  • A research background in machine learning, statistics, or a related field (MS, PhD, or equivalent research experience) is a plus but not a requirement

Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow.

The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $280,000. A successful candidate's actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate's work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry's employee benefit plans/programs applicable to the candidate's position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company's benefit plans/programs.

Equal Opportunity at Sentry

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.

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