AI Researcher (Multimodal Perception Models) Job at Tavus (San Francisco)

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Senior AI Researcher - AV

GM Israel (Herzliya) takes a significant part in introducing sophisticated softw...

Location

Israel , Herzliya

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, Robotics, or a related field (Excellent M.Sc. graduates will be considered)
Over 3 years of research experience in computer vision, machine learning, autonomous perception, or related areas
Strong publication record at top-tier AI/ML conferences and journals
Excellent coding skills and familiarity with modern AI frameworks
Hands-on experience with large-scale training, 3D data, multimodal perception, or foundation models is highly desirable

Job Responsibility

Drive downstream KPI lift for the autonomous driving agent
Participate in AI research projects in the areas of VLMs / world modeling, computer vision, 3D perception, multimodal sensor fusion, and others
Design, build, train, and evaluate foundation models and large-scale deep learning architectures designed for autonomous driving
Collaborate with engineering teams to translate state-of-the-art research into scalable production solutions
Work towards external publications in top-tier conferences / journals
Track emerging trends in your field
Incubate cutting-edge technologies aimed at impacting our L3 autonomous driving technology
Build and maintain collaborations with top universities, research labs, and industry experts

Fulltime

Senior Machine Learning Engineer, Perception

We are seeking a highly skilled Machine Learning Engineer with deep expertise in...

Location

United States , Santa Clara

Salary:

145000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field
Ph.D. new grad or Masters + 3 years industry experience
Proficiency in Python and experience building deep learning pipelines
Strong expertise in PyTorch, TensorFlow, or JAX
Proven experience with LiDAR-based 3D perception and BEV representation models
Deep understanding of multimodal sensor fusion architectures and techniques
Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines
Solid foundation in computer vision, deep learning, and 3D geometry

Job Responsibility

Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs
Benchmark perception models using large-scale datasets and well-defined quantitative metrics
Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications
Maintain a strong focus on performance, robustness, and scalability for deployment in production systems
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

Fulltime

Research Scientist Intern, AI Research - CoreML - World Models

Meta is seeking Research Interns to join the SAM team in the Multimedia Percepti...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Machine Learning, Artificial Intelligence, or relevant technical field
Research and/or work experience in Generative Modeling and Computer Vision. In particular: video generation, 3D/4D reconstruction, video and image understanding, vision-language foundation models, representation learning, and related areas
Research and/or work experience in Machine Learning or Deep Learning with applications to perception
Experience in Python, C++, or other related languages
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Perform research to advance the science and technology of generative AI
Perform research that enables learning to predict and condition on multimodal data (video, 3D structures, primarily images, text, and other modalities like audio)
Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
Contribute to ongoing research projects and impactful technology releases
Draft and polish research publications
Present research outcomes to internal and/or external audiences

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

Meta is seeking research scientists to help us build the data foundation for Met...

Location

United States , Menlo Park

Salary:

219000.00 - 301000.00 USD / Year

Meta

Expiration Date

Until further notice

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

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

bonus
equity
benefits

Research Scientist Intern, AI Research - World Models

Meta is seeking Research Interns to join the SAM team in the Multimedia Percepti...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Machine Learning, Artificial Intelligence, or relevant technical field
Research and/or work experience in Generative Modeling and Computer Vision. In particular: video generation, 3D/4D reconstruction, video and image understanding, vision-language foundation models, representation learning, and related areas
Research and/or work experience in Machine Learning or Deep Learning with applications to perception
Experience in Python, C++, or other related languages
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Perform research to advance the science and technology of generative AI
Perform research that enables learning to predict and condition on multimodal data (video, 3D structures, primarily images, text, and other modalities like audio)
Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
Contribute to ongoing research projects and impactful technology releases
Draft and polish research publications
Present research outcomes to internal and/or external audiences

Senior AI Research Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

Finland , Tampere

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

AI Research Scientist, Media Data Research - MSL FAIR

Meta is seeking AI research scientists to help us build the data foundation for ...

Location

United States , Menlo Park

Salary:

154000.00 - 217000.00 USD / Year

Meta

Expiration Date

Until further notice

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
1+ year of industry research experience in LLM/LMM, computer vision, or related AI/ML models
Experience owning and/or driving complex technical projects from end-to-end
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

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 quality in 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

bonus
equity
benefits

AI Research Scientist, Media Data Research

Meta is seeking AI research scientists to help us build the data foundation for ...

Location

United States , Menlo Park

Salary:

184000.00 - 257000.00 USD / Year

Meta

Expiration Date

Until further notice

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

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

bonus
equity
benefits

Fulltime

AI Researcher (Multimodal Perception Models)

Tavus

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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