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Added 2 mins ago
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Principal CAD Software Engineer
Microsoft
CA · NC · OR · Mountain View, CA · Raleigh, NC · Hillsboro, OR
- $142,800 to $304,200 USD / year
The Microsoft Silicon Engineering and Solutions Team is seeking a passionate and driven software engineer to be a technical leader for our central software team. This team drives…
Added 2 mins ago
M
Senior Software Engineer- AI Agents
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · Redmond · Mountain View · New York
- $119,800 to $261,000 USD / year
…governing AI agents at scale. We are looking for a Senior Software Engineer who is passionate about building secure, reliable, and highly scalable distributed systems and helping shape the…
Added 3 mins ago
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Principal Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
We’re looking for a Principal Software Engineer to help build and evolve the MDASH scanning engine as we work to advance agentic code scanning. In this role, you’ll design and build systems…
Added 9 mins ago
Software Engineer, Associate - Business Finance Technology
Blackstone Administrative Services Partnership
NJ
We're looking for a hands-on software engineer to help build the platforms that power finance and fund operations across Blackstone. You'll develop and support features within our…
Added 15 mins ago
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Digital Transformation AR/VR Internships – Summer 2027
NBC Universal
North Hollywood, CA
- $30 USD / hour
Digital Transformation Engineer: The Universal Pictures Digital Transformation seeks a Full-Stack Engineer Intern to join our team as we envision the future of entertainment media. In this…
Added 15 mins ago
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Software System Test Engineer
ManpowerGroup
Santa Clarita, CA
- $55 to $65 USD / hour
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Added 15 mins ago
F-22 Systems Engineer (Loads) - Level 2
Lockheed Martin
Edwards AFB, CA
-Experience in structural testing, FEA, or data analysis (MATLAB, Python)
Added 16 mins ago
AI Scientist (Model Building & Training)
Lilly
South San Francisco, CA
Making medicine that’s never been made means doing what’s never been done. If you’re an engineer, scientist, or builder who thrives on problems no one has solved before, this is your…
Added 16 mins ago
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Abbott
Pleasanton, CA
We are seeking a highly skilled and experienced Senior DevOps Engineer to design, implement, and optimize scalable DevOps solutions that support the build, release, and deployment of modern…
Added 16 mins ago
Robotics Engineer, Logistics Automation
Meta
Fremont, CA
Meta is seeking a Robotics Engineer to join our Infra Robotics team. This team implements advanced robotics technologies to enable efficient and safe data center operations.The logistics…
Added 16 mins ago
Operations AI Engineer - Early Career
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Palmdale, CA
A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast‑paced, global environments, possess excellent…
Added 17 mins ago
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Google
Mountain View, CA
Share Staff Software Engineer, ML Compiler Performance Engineer Co-Design
Added 17 mins ago
Industrial Engineer /Principal Industrial Engineer
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Sunnyvale, CA
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Agentic Data Cloud Customer Engineer II, Google Cloud
Google
Sunnyvale, CA
Share Agentic Data Cloud Customer Engineer II, Google Cloud
Added 17 mins ago
Senior RTL Design Engineer, TPU
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Sunnyvale, CA
Experience with scripting languages (e.g., Tcl, Python or Perl).
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Aeronautical/Mechanical Engineer 2/3
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Sunnyvale, CA
Northrop Grumman Mission Systems sector is seeking an Aeronautical / Mechanical Engineer 2/3 to join a highly talented, motivated, and collaborative Performance Analysis team in Sunnyvale,…
Added 17 mins ago
Research Scientist Intern, ML Innovation for Products (PhD)
Meta
Sunnyvale, CA · Menlo Park, CA
Experience with Python, C++, C, Java, or other related languages
Added 17 mins ago
Application Engineer III (E3)
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Santa Clara, CA
Develop algorithms and analytics solutions using Python, R, and AI/ML techniques.
Added 17 mins ago
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AI Software Development Engineer - Neuromorphic Computing
Intel
Santa Clara, CA
- $170,500 to $240,710 USD / year
As an AI Software Engineer in Neuromorphic Computing, you will turn new neuromorphic hardware capabilities into working, high-performance AI software and contribute to critical technical…
Added 17 mins ago
Sr. Software Engineer, Customer Success
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San Jose, CA
As a software engineer for DataPelago data processing customer success, you will develop workload assets and automation tools for product validation and product support which will help…
Added 17 mins ago
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…Engineering team is central to that mission. As a Machine Learning Engineer, you will develop and enhance AI/ML algorithms and solutions that protect millions of users across the Zoom…
Added 17 mins ago
AI Deployment Strategist
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Santa Barbara, CA · Sacramento, CA · San Jose, CA
Build and deploy custom full-stack Python and JavaScript solutions that connect agent decision-making with customer back-end systems such as CRM, ERP, and knowledge bases.
Added 17 mins ago
Staff Software Engineer
Zeta Global Corp.
San Francisco, CA
…strategies. Develop Software using C#, Java, JavaScript, Go, or Python. Apply experience with generative AI, large language models (LLMs), and cloud infrastructure. Work with GenAI platform…
Added 18 mins ago
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Principal / Senior Principal Software Engineer
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Los Angeles, CA
We are looking for you to join our team as a Principal Software Engineer or Senior Principal Software Engineer based out of Woodland Hills, CA . As a Software Engineer at Northrop Grumman…

Research Scientist Intern, ML Innovation for Products (PhD)

Sunnyvale, CA, United States
Menlo Park, CA, United States

$7,650/month to $12,667/month + benefits

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Job details

Pay: $7,650/month to $12,667/month + benefits
Posting language: English
Posted: Oct 30, 2026

Original job description

Summary:

The ML Innovation for Products (MLIP) team is an applied machine learning and research team within Meta's Ranking & Foundational AI org, focused on the state-of-the-art (SOTA) 0-to-1 ML that powers retrieval, ranking, and auction across Meta's ads systems. This is a very unique team that functions like an applied research lab with a production deploy button: we imagine, evaluate, prototype, and ship 10x ideas into one of the largest recommender systems in the world, a system that serves billion-scale users every single day and is the engine behind Meta's revenue. As a horizontal team, we have the unique leverage to develop SOTA techniques alongside expert engineers and researchers, then scale them into the head models powering Facebook, Instagram, and beyond.What you would work onBecause the team works at the boundary of research and production, our research and its applications are intertwined, and much of the work is published at major ML and recommender systems conferences. Some of the work the team is involved in includes:Memora, a new scaling paradigm for ads recommendation inspired by memory research in LLMs. Learned representations in large recommenders turn out to be highly concentrated, so much of the input signal is effectively ignored and further architectural scaling yields flattening returns. We build memory modules that store and retrieve historical model-generated representations and inject them back as differentiating signals, improving model quality without proportionally scaling compute. Two workstreams: Learning from Memory (LFM) and Enriched Ad Sequences (EAS). Graph Learning at billion-node scale. We build heterogeneous graph representations of users, ads, and their interactions, including user journey graphs, and we push the modeling frontier: k-hop induced subgraph methods, temporal GNNs, graph transformers, and deeper architectures with residual and spectral rewiring to counter over-smoothing and over-squashing. A parallel track turns this into a self-serve platform so that experiment throughput, not infrastructure, is the bottleneck. LLM and Multimodal Fusion. Ad-side and user-side content understanding are both crowded research areas, but almost no one combines them with graph-structured relational signals. That gap is the opening. Our SELF workstream, for Semantic-Engagement LLM Fusion, contrastively trains ad and user encoders so that engagement structure from the interaction graph and semantic content from multimodal LLMs land in one shared embedding space that retrieval can search directly. Agentic AI. We are building a shared agentic layer that abstracts planning, tool orchestration, memory, and execution into reusable services. The flagship is IDEA, which has already taken techniques from paper to validated production model improvements end to end, with domain overlays that specialize it for memory, sequences, graph learning, retrieval policies, and foundation models. The research questions it raises about autonomous experimentation are wide open. Reinforcement Learning. Large parts of the ads retrieval flow are still tuned by hand: how many candidates to keep at each stage, how to mix retrieval routes, where to set recall cutoffs. These decisions have no clean ground-truth label to supervise against, which is exactly the gap RL is built to close. We replace static global constants with per-request policies learned from logged traffic that optimize the realized system outcome directly rather than a low-fidelity offline proxy. Our first production policy personalizes a retrieval keep ratio per request on Facebook Mobile Feed. The longer-term direction is joint multi-knob optimization across the flow on one shared reward and off-policy evaluation foundation.Who we are:We are a team of 15 ML engineers and research scientists spanning Sunnyvale and the Bay Area, supported by senior technical leads with deep experience taking research from idea to production. We partner closely with product groups across Meta, so the surface area available to an intern is much wider than any single pod. The team values knowledge sharing and continuous learning, and runs regular technical deep dives and AI best-practice workshops alongside a buddy system for onboarding.

Required Skills:

Research Scientist Intern, ML Innovation for Products (PhD) Responsibilities:

Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques including LLMs and agentic pipelines.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
Publish research results and contribute to research that can be applied to Meta product development.

Minimum Qualifications:

Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with deep learning frameworks such as Pytorch or Tensorflow
Experience with Python, C++, C, Java, or other related languages
Experience with research and building systems based on machine learning and/or deep learning methods

Preferred Qualifications:

Intent to return to degree program after the completion of the internship/co-op
Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training
Experience working and communicating cross functionally in a team environment

Public Compensation:

$7,650/month to $12,667/month + benefits

Industry: Internet

Equal Opportunity:

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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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More about this job

Skills

Research
ML
Machine learning
Artificial intelligence
Publish academic research
Computer science
Natural language processing
Statistics
Deep learning
PyTorch
TensorFlow
Python
C++
C
Oracle Java
GitHub

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