Software Engineer, Machine Learning
Job Summary
Job Description
Meta seeks a Software Engineer, Machine Learning to lead transformative projects impacting global connectivity. Responsibilities include leading teams, adapting ML methods for parallel environments, developing scalable classifiers, defining project roadmaps, and coding deliverables. The ideal candidate possesses extensive experience in machine learning, recommendation systems, and large-scale model development, along with expertise in Python, C/C++, and Java. This role requires driving technical direction, fostering cross-functional partnerships, and ensuring high-quality, reliable work.
Must have:
- 6+ years software engineering experience (3+ with PhD)
- 2+ years in ML, recommendation systems, or related field
- Experience with Python, C/C++, Java, or scripting languages
- Experience building and shipping high-quality, reliable work
- Lead projects and teams, advocating for ML excellence
Good to have:
- Master's or PhD in Computer Science or related field
- Experience with PyTorch and TensorFlow
- Experience with large-scale software application architectures
10 skills required
Job Details
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
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
Minimum Qualifications
- 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
Preferred Qualifications
- 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
For those who live in or expect to work from California if hired for this position, please click for additional information.
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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$error/year to $error/year + bonus + equity + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
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 at Meta.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .
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About The Company
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
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