CrawlJobs Logo

Research Engineer / Scientist - Post-training

lumalabs.ai Logo

Luma AI

Location Icon

Location:
United States , Palo Alto

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

187500.00 - 395000.00 USD / Year

Job Description:

At Luma, the Post-training team is responsible for unlocking creative control in the world’s largest and most powerful pre-trained multimodal models. The team works closely with the Fundamental Research team and the Product teams across Luma to train our image and video generative models improving their capabilities in the final step refining them to be better aligned with what our users expect.

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

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

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Research Engineer / Scientist - Post-training

Research Scientist - Generative AI

As a Research Scientist in the Emergent Machine Intelligence Team at Hewlett Pac...
Location
Location
United States , Santa Barbara
Salary
Salary:
101900.00 - 234500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • A competitive salary and extensive social benefits
  • Diverse and dynamic work environment
  • Work-life balance and support for career development.
  • Fulltime
Read More
Arrow Right

Research Scientist - Generative AI

This role involves conducting high-quality research in generative AI, designing ...
Location
Location
United States
Salary
Salary:
101900.00 - 234500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right
New

Research Engineering Manager

Meta is seeking hands-on Research Engineering Manager to join the Meta SuperInte...
Location
Location
United States , Menlo Park
Salary
Salary:
184000.00 - 257000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree or PhD in Computer Science, Electrical Engineering, or a related field
  • 8+ years of experience in research and development in natural language processing, computer vision, generative AI, or related media technologies
  • 2+ years of experience managing technical teams, including performance management
  • Proven track record of leading research teams and delivering impactful results
  • Experience with large-scale systems and productization of research
  • Experience in LLM post-training, evaluation and optimization
Job Responsibility
Job Responsibility
  • Lead and mentor a team of research engineers and scientists working on cutting-edge LLM technologies
  • Drive the strategy and execution of research initiatives in LLM response quality improvement
  • Collaborate with cross-functional teams to translate research breakthroughs into scalable products and solutions
  • Lead the development of new algorithms and systems for LLM post-training, evaluation and efficiency
  • Stay abreast of the latest advancements in AI, large language modeling and apply them to Meta’s products
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Principal Machine Learning Engineer

Health Futures is a Research and Incubation team working at the intersection of ...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • Masters in Computer Science or related technical field AND 6+ years technical engineering experience including significant work in machine learning or applied AI
  • OR equivalent experience
  • Proven track record of designing and deploying large-scale ML or MLops systems in research or product settings
  • Hands-on experience with large-scale distributed training of ML models
  • Deep expertise in ML algorithms, model optimization, and frameworks (e.g., PyTorch, TensorFlow)
  • Experience with one or more of: optimizing data mixes, mid-training, post-training, model merging, or model distillation
  • Familiarity with security and compliance standards for enterprise and health data
  • Demonstrated ability to communicate effectively and solve problems in collaborative, research-driven environment
Job Responsibility
Job Responsibility
  • Lead the design and development of machine learning models and systems for health and life sciences applications, ensuring scalability and reliability
  • Define technical strategy and architecture for ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment
  • Collaborate with interdisciplinary teams (including scientists, researchers, and software engineers) to envision and develop AI-augmented scientific systems
  • Mentor engineers and researchers, promoting best practices in ML development, experimentation, and responsible AI principles
  • Ensure security, privacy, and regulatory compliance across ML workflows and data handling
  • Fulltime
Read More
Arrow Right

Staff Research Engineer, MetaAI Assistant Measurement

Meta Superintelligence Labs is seeking a Staff Research Engineer to provide tech...
Location
Location
United States , Bellevue
Salary
Salary:
257000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Track record of driving technical strategy and landing large-scale research or product impacts in a time-sensitive environment
  • Proven technical vision regarding the future trajectory of Generative AI, specifically in how model performance translates to user utility
  • Expertise in designing and implementing online and offline measurement systems, benchmark building, and data synthesis techniques
  • Experience leading complex, cross-functional technical initiatives, driving consensus across engineering, research, and product boundaries
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch), with the ability to prototype and implement complex methodologies
Job Responsibility
Job Responsibility
  • Architect Scientific Strategy: Define and lead the execution of the scientific roadmap for AI Assistant measurement, ensuring methodologies are rigorous, scalable, and aligned with product goals
  • Innovate & Build: Spearhead the research and development of novel offline and online evaluation metrics, automated benchmarks, and synthetic data generation pipelines to close the loop between model training and deployment
  • Cross-Functional Technical Leadership: Serve as the primary scientific liaison to pre-training, post-training, and product teams, ensuring that measurement insights directly influence model architecture and training recipes (the "evaluation flywheel")
  • Mentorship & Influence: Provide technical mentorship and guidance to senior research engineers and applied scientists, fostering a culture of scientific rigor and code without direct management responsibilities
  • Hands-on Contribution: Remain hands-on in code and research, building prototypes for new evaluation frameworks and validating novel measurement theories
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

AI Research Scientist, Media Data Research

Meta is seeking AI research scientists to help us build the data foundation for ...
Location
Location
United States , Menlo Park
Salary
Salary:
184000.00 - 257000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models
  • Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
  • Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
  • Lead complex technical projects end-to-end
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Research Scientist - Agency and Reasoning

As a Research Scientist, you will be a core contributor to Zyphra’s Agency and R...
Location
Location
United States , Palo Alto
Salary
Salary:
Not provided
zyphra.com Logo
Zyphra
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

AI Research Scientist (Technical Leadership), Data Research - MSL FAIR

Meta is seeking research scientists to help us build the data foundation for Met...
Location
Location
United States , Menlo Park
Salary
Salary:
219000.00 - 301000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 4+ years of industry research experience in NLP or CV
  • 4+ years as a formal technical lead experience
  • Experience leading major technical initiatives with cross-functional impact and influencing strategy across multiple teams
  • Practical experience with multimodal pre-training or mid-training data curation for large language models, media perception, or media generation models
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Architect efficient and scalable data curation systems and pipelines
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in video/image generation, video/image perception, OCR, agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
  • Lead complex technical projects end-to-end
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right