Machine Learning Research Scientist / Engineer, Reasoning Job at Scale (San Francisco)

Research Engineer / Research Scientist - Foundations Retrieval Lead

The Foundations Research team works on high-risk, high-reward ideas that could s...

Location

United States , San Francisco

Salary:

445000.00 - 555000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Proven experience leading high-performance teams of researchers or engineers in ML infrastructure or foundational research
Deep technical expertise in representation learning, embedding models, or vector retrieval systems
Familiarity with transformer-based LLMs and how embedding spaces can interact with language model objectives
Research experience in areas such as contrastive learning, supervised or unsupervised embedding learning, or metric learning
A track record of building or scaling large machine learning systems, particularly embedding pipelines in production or research contexts
A first-principles mindset for challenging assumptions about how retrieval and memory should work for large models

Job Responsibility

Lead research into embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning
Manage a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integrating embeddings into frontier models
Drive innovation in dense, sparse, and hybrid representation techniques, metric learning, and learning-to-retrieve systems
Collaborate closely with Pretraining, Inference, and other Research teams to integrate retrieval throughout the model lifecycle
Contribute to OpenAI’s long-term vision of AI systems with memory and knowledge access capabilities rooted in learned representations

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Research Scientist / Engineer — Multimodal Agent

This is a rare and foundational opportunity to define the future of multimodal A...

Location

United States , Palo Alto

Salary:

250000.00 - 450000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, foundation models and agentic systems
Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling
Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets)

Job Responsibility

Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work
Hillclimbing existing tasks and formulating new tasks through data
Design, implement, and run robust data pipelines for constructing, enriching, and filtering massive pixel datasets
Train large-scale multimodal models on massive datasets and GPU clusters
Define and build novel evaluation frameworks to measure multimodal agents

Fulltime

Ai research - scientist/ engineer

As a Research Scientist/Engineer on the AI team at Sentient, you'll lead the dev...

Location

Salary:

Not provided

Sentient

Expiration Date

Until further notice

Requirements

MS/PhD in Computer Science, ML, or related field, or equivalent experience
Strong programming skills, especially in Python
Experience with ML model training and experimentation
Track record of implementing ML research
Strong analytical skills for interpreting experimental results
Experience with ML metrics and evaluation frameworks
Excel at turning research ideas into working code
Can identify and resolve practical implementation challenges

Job Responsibility

Develop and implement novel fine-tuning and reinforcement learning techniques using synthetic data generated from multi-turn interactions
Use these to design agentic systems to improve reasoning skills to be evaluated on long-horizon strategic decision making benchmarks
Create and maintain evaluation frameworks to measure reasoning skills and design new benchmarks

Fulltime

Machine Learning Scientist

LMArena is seeking a variety of Machine Learning Scientist to help advance how w...

Location

United States , Bay Area

Salary:

Not provided

Arena Intelligence, Inc.

Expiration Date

Until further notice

Requirements

PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field
Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)
Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow
Demonstrated ability to design and analyze experiments with statistical rigor
Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation
Comfortable working with real-world usage data and designing metrics beyond standard benchmarks
Ability to translate research questions into practical systems and collaborate across engineering and product teams
Passion for open science, reproducibility, and community-driven research

Job Responsibility

Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions
Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks
Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences
Collaborate with engineers to implement and scale research findings into production systems
Prototype and test research ideas rapidly, balancing rigor with iteration speed
Author internal reports and external publications that contribute to the broader ML research community
Partner with model providers to shape evaluation questions and support responsible model testing
Contribute to the scientific integrity and transparency of the LMArena leaderboard and tools

What we offer

Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact

Fulltime

Machine Learning Scientist - Open Source Lead

LMArena is looking for a Machine Learning Scientist to lead our open-source rese...

Location

United States , Bay Area

Salary:

Not provided

Arena Intelligence, Inc.

Expiration Date

Until further notice

Requirements

PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field
Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)
Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow
Demonstrated ability to design and analyze experiments with statistical rigor
Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation
Comfortable working with real-world usage data and designing metrics beyond standard benchmarks
Ability to translate research questions into practical systems and collaborate across engineering and product teams
Passion for open science, reproducibility, and community-driven research

Job Responsibility

Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions
Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks
Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences
Communicate results with the broader research community via academic papers, educational content, conference talks
Collaborate with engineers to implement and scale research findings into production systems
Prototype and test research ideas rapidly, balancing rigor with iteration speed
Partner with model providers to shape evaluation questions and support responsible model testing
Contribute to the scientific integrity and transparency of the LMArena leaderboard and tools

What we offer

Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Competitive compensation and equity aligned to the markets where our team members are based

Fulltime

Research Scientist / Engineer — Foundation Model

This is a rare and foundational opportunity to define the future of multimodal A...

Location

United States , Palo Alto

Salary:

Not provided

Luma AI

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, foundation models and agentic systems
Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling
Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets)
Able to contribute continuous 6 months in the internship

Job Responsibility

Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work
Design, implement, and run robust data pipelines for constructing, enriching, and filtering agentic datasets
Train large-scale multimodal agents on massive datasets and GPU clusters
Define and build novel evaluation frameworks to measure multimodal agents

Fulltime

Senior Software Engineer (Machine Learning/Applied Data Scientist)

We are looking for an experienced Senior Machine Learning Engineer / Applied Dat...

Location

United States , South Jordan

Salary:

Not provided

Cricut

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in Computer Science, Applied Mathematics, Data Science, AI, or related fields
3+ years of industry experience building and deploying ML models in production
Strong Python skills and proficiency with deep learning frameworks (TensorFlow, PyTorch, or Keras)
Experience with data manipulation using NumPy, Pandas, and scikit-learn
Ability to write complex SQL queries, ideally with Redshift
Solid understanding of software engineering principles including Git and agile methodologies
Excellent problem-solving and communication skills with the ability to work independently on complex ML challenges

Job Responsibility

Analyze and preprocess large-scale datasets for training, evaluation, and experimentation
Develop and optimize deep learning models using architectures, loss functions, and augmentation strategies tailored to each problem
Apply and integrate LLMs (e.g., ChatGPT, Gemini) for reasoning, analytics, and workflow automation
Stay current with advancements in ML, computer vision, and AI, and translate research into production-ready solutions
Build scalable training pipelines and integrate them into our CI environment to support experiment tracking, nightly builds, and automated testing
Collaborate with software engineers to deploy ML models into production systems with reliability and performance in mind
Troubleshoot and debug ML systems across training, inference, and distributed environments
Work with product and engineering teams to define requirements and deliver impactful ML-driven features
Document findings and present insights to technical and non-technical stakeholders

What we offer

Competitive Medical, Dental, and Vision coverage
401(k) match
Generous PTO
Tuition reimbursement
Yearly lifestyle stipend
Exclusive employee discounts
Relocation assistance

Fulltime

Research Scientist - Agency and Reasoning

As a Research Scientist, you will be a core contributor to Zyphra’s Agency and R...

Location

United States , Palo Alto

Salary:

Not provided

Zyphra

Expiration Date

Until further notice

Requirements

Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks
Experience with language model supervised finetuning and preference learning methods such as DPO, simPO, etc.
Experience with context-length extension methods
A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning
Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation
Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics)
Previously published machine learning research in well-respected venues
Highly proficient with PyTorch and Python
Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale

Job Responsibility

Performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models

What we offer

Comprehensive medical, dental, vision, and FSA plans
Competitive compensation and 401(k)
Relocation and immigration support on a case-by-case basis
On-site meals prepared by a dedicated culinary team
Thursday Happy Hours

Fulltime

Select Country

Machine Learning Research Scientist / Engineer, Reasoning

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?