Research Scientist / Engineer – Multimodal Capabilities Job at Luma AI (Palo Alto)

Sr. Applied Research Scientist

We’re looking for a Sr. Applied Research Scientist to lead efforts in building l...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant ML engineering or research experience in language models
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in building large language models and vision language models that power Runway’s research and tools, with a focus on multimodal capabilities and reasoning

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

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

Senior Machine Learning Engineer - Fraud (Research Scientist)

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , Seattle

Salary:

225600.00 - 337200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

PhD strongly preferred
we will consider equivalent research experience with a strong publication/innovation track record
3+ years of experience as a Machine Learning Engineer or Research Scientist
Strong scientific rigor and communication
Strong Python skills + ability to build high-quality research prototypes

Job Responsibility

Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning
Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact
Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering
Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom

Fulltime

Senior Machine Learning Engineer - Fraud (Research Scientist)

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , San Francisco

Salary:

225600.00 - 337200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

PhD strongly preferred
we will consider equivalent research experience with a strong publication/innovation track record
3+ years of experience as a Machine Learning Engineer or Research Scientist
Strong scientific rigor and communication
Strong Python skills + ability to build high-quality research prototypes

Job Responsibility

Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning
Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact
Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering
Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom

Fulltime

Senior Machine Learning Engineer - Fraud (Research Scientist)

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States

Salary:

225600.00 - 337200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

PhD strongly preferred
we will consider equivalent research experience with a strong publication/innovation track record
3+ years of experience as a Machine Learning Engineer or Research Scientist
Strong scientific rigor and communication
Strong Python skills + ability to build high-quality research prototypes

Job Responsibility

Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning
Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact
Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering
Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom

Fulltime

Senior Research Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering
OR Master’s degree and 3 or more years in applied ML or AI research and product engineering
OR PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Bringing State-of-the-Art Research to Products
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
End-to-End System Development
ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

Fulltime

Senior Machine Learning Engineer - Fraud

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , New York

Salary:

225600.00 - 337200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

PhD strongly preferred
we will consider equivalent research experience with a strong publication/innovation track record
3+ years of experience as a Machine Learning Engineer or Research Scientist
Strong scientific rigor and communication
Strong Python skills + ability to build high-quality research prototypes

Job Responsibility

Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning
Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact
Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering
Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom

Fulltime

Research Scientist / Engineer – Multimodal Capabilities

Luma AI

Location:
United States , Palo Alto

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 13, 2026

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Location:United States , Palo Alto

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 13, 2026

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