Research Scientist, Machine Learning
Job details
- Level
- Entry level
- Experience
- 2+ years
- Education
- Bachelor's degree
- Posted
- Oct 20, 2026
- Last confirmed open
- Oct 28, 2026
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Research Scientist, Machine Learning
Research Scientist, Machine Learning
Menlo Park, CA +1 location
Artificial Intelligence
+ 4 more
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Meta is seeking a Research Scientist to advance the state of the art in ads AI research. In this role, you will conduct original research in areas such as operations research, optimization, representation learning, time series forecasting, or generative modeling, with the goal of driving fundamental breakthroughs that power Meta's AI-driven ads product and beyond.
You will work alongside researchers and engineers to translate novel findings into real-world impact at unprecedented scale.
Research Scientist, Machine Learning Responsibilities
- Design and execute original AI research projects spanning areas such as deep learning architectures, optimization methods, and generative models
- Design optimization and forecasting methods for allocation planning and marketplace optimization
- Develop and validate novel algorithms and modeling approaches through rigorous experimentation, ablation studies, and statistical analysis
- Translate research findings into scalable implementations that can be integrated into production AI systems serving billions of users
- Define and instrument evaluation frameworks, benchmarks, and metrics to measure research progress and model quality
- Collaborate with cross-functional partners across engineering, product, and data science to align research directions with high-impact product opportunities
- Communicate research findings through internal technical reports, external publications, and presentations to both technical and non-technical audiences
- Mentor other researchers and engineers on the team, providing technical guidance and constructive feedback on research methodology and implementation
- Drive the technical roadmap for one or more research areas, identifying opportunities, building stakeholder alignment, and coordinating execution across teams
- Contribute to the broader research community through peer-reviewed publications, open-source contributions, and participation in academic and industry venues
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 2+ years of experience conducting machine learning research, including developing and evaluating novel models, algorithms, or training methodologies
- Experience publishing original research in peer-reviewed machine learning venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent
- Experience implementing and training large-scale machine learning models using frameworks such as PyTorch or TensorFlow
- Experience designing experiments, selecting appropriate metrics, and drawing statistically sound conclusions from empirical results
- Experience communicating complex research findings in writing to both technical and non-technical stakeholders through papers, design documents, or technical reports
- Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field
Preferred Qualifications
- Research experience in one or more specialized areas such as operations research, optimization, forecasting, multimodal learning, reinforcement learning, or generative modeling
- Demonstrated ability to identify high-impact research directions that align with long-term product or platform goals
- Experience mentoring other researchers and contributing to the technical growth of a research organization
- Track record of driving research from initial hypothesis through production deployment at scale, including collaboration with applied engineering teams
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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $154,000/year to $217,000/year + bonus + equity + benefits
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity 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 here .
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .
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Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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