Machine Learning Research Scientist / Research Engineer, Post-Training Job at Scale (San Francisco)

Research Scientist - Generative AI

This role involves conducting high-quality research in generative AI, designing ...

Location

United States

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Research Scientist - Generative AI

As a Research Scientist in the Emergent Machine Intelligence Team at Hewlett Pac...

Location

United States , Santa Barbara

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences.

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars.

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development.

Fulltime

New

Research Engineering Manager, Post-Training

Meta is seeking a Research Engineering Manager to lead the Post-Training team wi...

Location

United States , Menlo Park

Salary:

219000.00 - 301000.00 USD / Year

New

Research Engineer / Research Scientist, Post-Training

The Post-Training team is responsible for training and improving pre-trained mod...

Location

United States , San Francisco

Salary:

295000.00 - 555000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Deep understanding of machine learning and machine learning applications
Working knowledge of relevant models, and building evaluations for model capability improvement
Comfortable diving into a large ML codebase to debug
Thrive in a dynamic and technically complex environment
Strong ML engineering skills and research experience, especially with novel and highly capable models
Passionate about product-driven research

Job Responsibility

Own and pursue a research agenda to improve model capability and performance
Collaborate closely with the other research and product teams, allowing customers to optimize their own models
Build robust evaluations for tracking modeling improvements
Design, implement, test, and debug code across our research stack

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 Engineer / Scientist - Post-training

At Luma, the Post-training team is responsible for unlocking creative control in...

Location

United States , Palo Alto

Salary:

187500.00 - 395000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies
Demonstrated ability to do independent research in Academic or Industry settings
Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures
Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization
Strong orientation toward applied AI implementations with emphasis on translating product requirements into technical solutions, coupled with exceptional visual discrimination and dedicated focus on enhancing visual fidelity and aesthetic quality of generated content
Proficiency in accelerated prototyping and demonstration development for emerging features, facilitating efficient iteration cycles and comprehensive stakeholder evaluation prior to production implementation
Established track record of effective cross-functional teamwork, including successful partnerships with teams spanning Product, Design, Evaluation, Applied, and creative specialists

Job Responsibility

Optimize Luma's image and video generative models through targeted fine-tuning to improve visual quality, instruction adherence, and overall performance metrics
Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards
Partner closely with the Applied Research team to identify product requirements, understand diverse use cases across Luma's platforms, and execute targeted fine-tuning initiatives to address performance gaps and enhance user-facing capabilities
Conduct comprehensive side-by-side evaluations comparing model performance against leading market competitors, systematically analyzing the impact of post-training techniques on downstream performance metrics and identifying areas for improvement
Develop advanced post-training capabilities for Luma’s video models including Camera control, Object & character Reference, Image & Video Editing, Human Performance & Motion Transfer Approaches
Architect data processing pipelines for large-scale video and image datasets, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories
Research and deploy cutting-edge diffusion sampling methodologies and hyperparameter optimization strategies to achieve superior performance on established visual quality benchmarks
Research emerging post-training methodologies in generative AI, evaluate their applicability to Luma's product ecosystem, and integrate promising techniques into our Post-training recipe

Fulltime

New

AI Research Lead

Perplexity is seeking an exceptional AI Research Tech Lead to drive our research...

Location

United States , San Francisco

Salary:

300000.00 - 470000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

Minimum of 5 years of experience working on relevant AI/ML projects with 3+ years in a technical leadership role
Proven track record of leading and mentoring technical and research teams
A Computer Science graduate degree at a premier academic institution
Deep expertise with large-scale LLMs and Deep Learning systems
Strong programming skills with versatility across multiple languages and frameworks
Demonstrated ability to set technical vision and drive execution
Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO)
Self-starter with exceptional ownership mentality and ability to work in ambiguous environments
Passion for solving challenging problems and pushing the boundaries of AI research

Job Responsibility

Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives
Lead strategic research planning and roadmap development to advance Sonar model capabilities
Drive innovation in supervised and reinforcement learning techniques for query answering
Collaborate with leadership to align research priorities with product and business objectives
Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth
Establish the long-term macro research direction across the team, including our direction across different modalities
Lead hiring and onboarding of new research talent
Create a collaborative environment that encourages knowledge sharing and innovation
Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques
Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training

What we offer

Equity
Health
Dental
Vision
Retirement
Fitness
Commuter and dependent care accounts

Fulltime

New

Manager, Machine Learning Research Scientist, GenAI

Scale AI accelerates the development of AI systems by providing the data, infras...

Location

United States , San Francisco; Seattle; New York

Salary:

239400.00 - 299300.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains
A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
Experience and track of recording in landing major research impacts in a fast-paced environment
Experience leading or managing research teams. You’re excited to mentor, coach and develop talent
Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders

Job Responsibility

Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)
Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution
Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes
Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally
Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent
Stay deeply connected to the research community, understanding major trends, and helping set them
Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

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

Machine Learning Research Scientist / Research Engineer, Post-Training

Scale

Location:
United States , San Francisco ▼
Seattle
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

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