Software Engineer, Machine Learning
Sunnyvale, CA | Remote, US | Bellevue, WA | Redmond, WA | Menlo Park, CA | Seattle, WA | Burlingame, CA | Boston, MA | New York, NY | San Francisco, CA | Fremont, CA | Mountain View, CA
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities
- Leading projects or small teams of people to help them unblock, advocating for ML excellence
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
- Suggest, collect and synthesize requirements and create effective feature roadmaps
- Code deliverables in tandem with the engineering team
- 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
- 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- Experience with scripting languages such as Python, Javascript or Hack
- Experience with developing machine learning models at scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Experience building and shipping high quality work and achieving high reliability
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Masters degree or PhD in Computer Science or another ML-related field
- Exposure to architectural patterns of large scale software applications
- Experience with scripting languages such as Pytorch and TF
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Apply
Job Profile
California residents preferred
Benefits/PerksAccommodations Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Advocate for ML excellence
- Build
- Debugging
- Develop
- Develop scalable classifiers
- Lead projects
- Testing
Artificial Intelligence Business C C++ Code reviews Computer Science Data Mining Debugging Developing Engineering GPU Hack Industry experience Java Javascript Machine Learning Monitoring Optimization Pattern Recognition Perl PHP Physics Python PyTorch Recommendation systems Recruiting Regression Scripting Scripting Languages Shell scripts Software Engineering Systems Technical Technical Direction TensorFlow Testing Tools Virtual reality Web
Experience6 years
EducationArtificial Intelligence Bachelor Bachelor's Bachelor's degree Bachelor's degree in Computer Science Business Computer Engineering Computer Science Engineering Equivalent Equivalent practical experience Master's degree Ph.D. Physics Related Field Related technical field Relevant technical field Software Engineering Technical field Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9