AI Research Engineer - Social Products (Technical Leadership)
Menlo Park, California, United States · On-site
$219k–$301k/yr
Senior
We’re hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You’ll be embedded directly in Facebook’s ecosystem, helping reimagine core experiences …
Skills: Large Scale Model Training, Multimodal Foundation Models, Post-training Pipelines, SFT, RLHF
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Principal Software Development Engineer - AMZ13289.8
Seattle, Washington, United States · On-site
$212k–$271k/yr
Senior+$25B raised
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Lidar and Camera Development Engineer - Lunar Avionics
Seattle, Washington, United States · On-site
$131k–$183k/yr
Senior$185M raised
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Sr. Product Manager-Technical, Prime VIdeo Advertising - Supply Enablement
Seattle, Washington, United States · On-site
$151k–$205k/yr
Senior$25B raised
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About the Company 2020 On-site is the leader in mobile vision care. Since 2014, our Mobile Vision Clinics have provided eye care to over 75,000 patients at their workplaces, schools and neighborhoods. In May 2020, we exp…
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Delivery Consultant- GenAI/ML & Data Science, AWS Industries
San Francisco, California, United States · On-site
$154k–$239k/yr
Senior+$25B raised
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Business Engineering is looking for impact-driven, entrepreneurial engineers ready to drive projects from ideation to implementation and beyond. We are AI and technology experts that apply our software engineering skills…
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Contractor – Equipment Delivery & Setup- Seattle WA
Seattle, Washington, United States · On-site
$40k–$100k/yr
Mid level
Overview Independent Contractor - Equipment Delivery & Setup Job Type: One person work |1099 Contractor | Final Mile Delivery | In-Home Setup (no assembly) Settlements: potential to earn 40K-100K+ dependent upon volume, …
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Meta is seeking a researcher to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. In this role, you'll work with world-class researchers at FAIR on fun…
Skills: Machine Learning, Optimization, Computer Vision, Natural Language Processing, Python
Senior Relationship Manager OR Senior Banker, Income Property Group
San Francisco, California, United States · Hybrid
$180k–$260k/yr
Senior+$3.3B raised
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Skills: Commercial Real Estate Finance, Portfolio Management, Risk Management, Credit Analysis, Business Development
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Skills: Lead Generation, Outbound Prospecting, Account Research, Salesforce, Pipeline Development
In-Home Health - Nurse Practitioner or Physician Assistant (Full Time) - Snohomish, WA
Seattle, Washington, United States · On-site
$96k–$206k/yr
Mid level$4.0B raised
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate…
Skills: In-Home Health Evaluations, Physical Evaluation, Medication Review, Medical History Review, Diagnostic Testing
Who We Are: Through the development, ownership, and operations of affordable housing properties, Bellwether Housing has been a trailblazer in transforming the lives of lower-income individuals and families in our region.…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$219k–$301k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Benefits
Posted 61d ago
~40 hrs/week
Responsibilities
Contribute to the training and optimization of next-generation multimodal foundation models for real-world product impact. Lead research in multimodal reasoning and generation to enhance user experiences across Meta's social products.
Requirements
Requires a Bachelor's degree in Computer Science or a related field and over 5 years of experience as an Applied AI Research Scientist or Engineer. Expertise in large-scale model training and evaluating speech-based systems is essential.
Full job description
We’re hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact.
You’ll be embedded directly in Facebook’s ecosystem, helping reimagine core experiences and reshape how people discover content, connect with creators, and interact with each other.
The work spans some of the most bold bets in applied GenAI, including:
- Building the post-training, evaluation, and serving systems that turn frontier LLMs into reliable, high-quality product experiences used by billions.
- Building a general-purpose agentic platform that powers a wide range of GenAI products across Facebook —enabling teams to ship faster, safer, and at scale.
- Building systems that enable capacity and cost optimizations through model fine-tuning, post-training and other techniques.
- Adapting and scaling these systems across Meta’s products.
Why Join Us
- Product LLM work at singular scale
- Your post-training decisions, evaluation frameworks, and serving architecture directly affect billions of daily interactions.
- End-to-end ownership
- We don't hand off models to a separate product team. We own the loop from training data to production behavior to measurement. The impact of your work shows up in days, not quarters.
- The problems are unsolved
- How do you evaluate open-ended conversational AI at scale? How do you fine-tune for groundedness across millions of varied creator profiles? These aren't incremental improvements, they're open research questions with immediate product consequences.
- Our team is hands-on, with high autonomy, working on critical bets
- We're deliberately keeping this team lean and experienced. You'll have outsized influence on technical direction, not just execution.
Depending on your interests and strengths, your work could span post-training pipelines (SFT, RLHF, synthetic data generation), evaluation methodology (auto-judge design, benchmark construction, human-AI calibration), production serving systems (RAG, memory, multi-modal generation), multi-agent orchestration, or E2E experience of building agentic products, - all grounded in shipping to real users at scale
Responsibilities
Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases
Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta’s product development
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
5+ YOE as an Applied AI Research Scientist or Applied AI Research Engineer
Preferred Qualifications
PhD in Computer Science, Computer Engineering, or relevant technical field
Experience taking ideas from research to production
$219,000/year to $301,000/year + bonus + equity + benefits
Related keywords
GenAILLMsMultimodalSFTRLHFRAGSynthetic DataPost-trainingModel Fine-tuningAgentic PlatformFoundation ModelsComputer ScienceComputer EngineeringAI ResearchProduction Serving Systems
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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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