Research Scientist, Machine Learning (PhD)
10 Months ago • Upto 1 Years
Research Development
Job Description
Meta's Research Scientist (Machine Learning) role focuses on developing highly scalable classifiers and tools using machine learning, regression, and rule-based models. This involves defining projects, driving excellence across teams, and collaborating with leading engineers and researchers to solve massive social data and prediction problems. Responsibilities include suggesting requirements, building cross-functional partnerships, adapting ML methods for parallel environments, and contributing to the entire ML lifecycle. The ideal candidate possesses a PhD in a relevant field, strong programming skills, experience with ML frameworks (PyTorch, TensorFlow), and a proven track record of translating insights into business recommendations.
Good To Have:
- Software engineering experience
- Publications at top ML conferences
- Experience with large-scale software applications
- Experience solving complex problems
- Experience with NLP, recommendation systems
Must Have:
- PhD in relevant field
- Experience with ML frameworks (PyTorch, TensorFlow)
- Strong programming skills (Python)
- Experience in building and shipping high-quality work
- Experience with ML lifecycle
- Ability to translate insights into business recommendations
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.
In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.
As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have 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.
Research Scientist, Machine Learning (PhD) Responsibilities
- Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
- Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Perform specific responsibilities which vary by team
Minimum Qualifications
- Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta.
- Experience programming in a relevant programming language
- Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
- Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
- Proven experience to translate insights into business recommendations
- Experience with scripting languages such as Python, Javascript or Hack
- Experience building and shipping high quality work and achieving high reliability
- Experience in systems software or algorithms
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
- Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
- Interpersonal experience working and communicating cross functionally in a team environment
- Exposure to architectural patterns of large scale software applications
- PhD degree or research focused Master degree in ML areas
For those who live in or expect to work from California if hired for this position, please click for additional information.
Locations
Data Center
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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