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Machine learning Jobs in Daly City, CA

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Machine learning • daly city ca

Last updated: 2 days ago

Engineering Manager, Machine Learning

SentrySan Francisco, CA, United States
$220,000.00 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

Senior Manager, Machine Learning

GridwareSan Francisco, CA, United States
Full-time

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid.We pioneered a groundbreaking new class of grid management called active grid response... Show more

Head of Machine Learning – 1811

PlacingITSan Francisco, CA, USA
$180,000.00 yearly
Full-time +1

Head of Machine Learning – 1811.K-$250K - based on experience + equity.US Citizens and all other parties authorized to work in the US are encouraged to apply.Application Fraud team and drive the de... Show more

Machine Tool Trainee

TradeJobsWorkforce94119 San Francisco, CA, US
Full-time

As a Machinist Trainee, you will be responsible for working within the framework of a team and performing the following activities: Learn the required skills to work within the Pilot Metals Develop... Show more

 • Promoted

Vice President, Robot Learning

HIKINEXSan Francisco, CA, United States
Full-time

Vice President, Robot Learning.We're partnering with an ambitious early-stage robotics company building the next generation of humanoid telepresence systems for industrial work.The company's missio... Show more

Product Manager, Machine Learning

Meta PlatformsSan Francisco, CA, United States
Full-time

Product Manager, Machine Learning.Product Manager, Machine Learning. Show more

Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

MercorPacifica, California, US
$70.00 hourly
Remote
Part-time

About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac... Show more

Learning and Development Certification Learning Manager

MicrosoftSan Francisco, CA, United States
Full-time

Learning And Development Manager.This role partners with subject matter experts, business stakeholders, instructional designers, and training delivery teams to create industry-recognized certificat... Show more

Organizational Development & Learning Lead

Distyl AISan Francisco, CA, United States
$170,000.00 yearly
Full-time

Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI.Our customers include the largest compan... Show more

Manager, Machine Learning Engineering

Warner Bros. DiscoverySan Francisco, CA, United States
Full-time

Manager, Machine Learning Engineering Video Ai & Studio Ai.We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows.Our work combi... Show more

Manager, Machine Learning Engineering

WarnerMedia Services, LLCCA San Francisco 153 Kearny Street
Full-time

We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows.Our work combines computer vision, multimodal learning, and machine learni... Show more

Director, Applied Machine Learning

HandshakeSan Francisco, CA, United States
Full-time

Human data is the core infrastructure to AI advancement.Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques.We believe that data spend for AI ... Show more

Machine Learning Engineering Manager - Fraud Detection

ColorwaveSouth San Francisco, CA, United States
Full-time

Engineering Leader Role at Stripe.We're looking for an engineering leader to lead and grow a strong team of engineers, build relationships with customers internally and externally, and champion our... Show more

Machine Learning Expert - Fully Remote | Upto $90/hr

MercorSan Francisco, California, United States
$75.00 hourly
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Human Baseliner for Open-Ended ML Research Tasks.Work independently in a sandboxed.Use preferred tools, including.Record full working sessions ... 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

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

Next Step Systems - Recruiters for Information Technology Jobs Top IT Recruiting FirmSan Francisco, CA, USA
Remote
Full-time

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home.The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this syste... Show more

Sr. Machine Learning Engineer (Perception and Tracking)

OusterSan Francisco, CA, US
Full-time
Quick Apply

At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient.We've transformed LIDAR from an analog device with thousands o... Show more

Learning Facilitator

Jewish Vocational Service (JVS)San Francisco, CA, US
$73,500.00 yearly
Full-time
Quick Apply

Why Join JVS?    JVS is a nonprofit working to close opportunity gaps in employment by supporting jobseekers with the skills and confidence to secure quality careers with family-su... Show more

VP, Robot Learning

Samson RoseSan Francisco, CA, United States
Full-time

An early-stage robotics company is building a new generation of humanoid robotic systems designed to allow skilled workers to perform complex physical tasks remotely and safely.The company's approa... Show more

Lead Machine Learning Engineer

Disney Entertainment and ESPN Product & TechnologySan Francisco, California, United States
Full-time

We are looking for a Lead Machine Learning Engineer to help us ideate, develop, iterate on, and productionize personalization algorithms across the recommendation stack.This includes our core ranki... Show more

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Engineering Manager, Machine Learning

Engineering Manager, Machine Learning

SentrySan Francisco, CA, United States
30+ days ago
Salary
$220,000.00 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.

Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.