AI Research Scientist
Santa Clara, California, United States
Full Time Senior-level / Expert USD 170K - 190K
Collaborative Robotics
Collaborative Robotics is a team of innovators defining the future of robot interaction. Real-World Applicability. Predictable Behaviors. Brilliant Hardware.Are you passionate about shaping the future of artificial intelligence and machine learning in the robotics field? Our rapidly growing startup is looking for an AI Research Scientist to join our Foundational Models AI team. This role is ideal for a recent PhD graduate eager to innovate and push the boundaries of AI technologies that will be integral to the development of autonomous robotic systems. Located in Seattle, this position offers a vibrant environment to be at the forefront of AI research that will directly influence the next generation of robotics technology.
Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.
This role is located onsite at our Seattle, Washington office.
Key Responsibilities:
- Conduct groundbreaking research and development on AI/ML algorithms that underpin the core functionalities of our robotic solutions.
- Collaborate with cross-functional teams to integrate AI models and data pipelines into real-world robotic applications, ensuring robust and scalable outcomes.
- Publish and present research findings in top-tier journals and conferences, contributing to the broader academic and professional communities.
Minimum Qualifications:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, ideally with a focus on robotics.
- Understanding of multimodal modeling, modern ML architectures (transformers, diffusion models, etc.), and reinforcement learning.
- Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or similar. Familiarity with CUDA or high-performance code is a plus.
- Demonstrated ability to design and execute on applied research agendas.
- Excellent written and verbal communication skills, with a proven track record of publishing research.
- Must have and maintain US work authorization.
Preferred Qualifications:
- Practical experience with software/data engineering best practices and tools.
- Knowledge of robotics software and simulation stacks.
- Practical experience with experiment tooling, data pipelines, and workflow automation.
- Familiarity with large-scale, distributed model training.
- Creative thinker with a passion for problem-solving and innovation.
- Ability to work in a dynamic and collaborative team environment.
The base salary range for this position is $170,000 - $190,000 plus equity and comprehensive benefits. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position in the noted geographic area. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
Collaborative Robotics is committed to a diverse and inclusive workplace. Collaborative Robotics is an equal opportunity employer and does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.
To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.
Tags: Architecture Computer Science CUDA Data pipelines Deep Learning Diffusion models Engineering JAX Machine Learning Model training PhD Pipelines PyTorch React Reinforcement Learning Research Robotics TensorFlow Transformers
Perks/benefits: Career development Conferences Equity Startup environment
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