Machine Learning Engineer

Sanctuary AI–a multi award-winning LinkedIn Top Startup company– is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.

As a member of the ML team, your role involves crafting and deploying innovative algorithms and rigorously testing them in both simulated environments and real-world scenarios with our robots. With access to our in-house robotic platforms, you'll embark on impactful projects leveraging cutting-edge haptic and proprioceptive sensing technologies. This position offers a unique chance to explore and implement state-of-the-art ML methodologies within a dynamic and collaborative environment.

Success Criteria

Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems

Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges

Implement scalable and efficient software solutions to integrate machine learning models into production systems

Optimize and fine-tune machine learning algorithms for improved performance and accuracy

Conduct thorough testing and validation of machine learning models to ensure robustness and reliability

Stay updated on the latest developments and advancements in machine learning and communicate promising research directions to the team

Provide technical guidance and mentorship to junior team members

Your Experience

Qualifications

Master's degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field

3+ years of demonstrated experience in a wide variety of ML methods with a focus on a specialization such as dexterous manipulation with reinforcement learning or imitation learning, computer vision for robotics, or natural language processing

4+ years of experience in software engineering, with a focus on developing and deploying production-grade applications

Working experience with ROS2

Development experience with parallel computing such as CUDA, OpenMP, SSE, etc.

Experience with Atlassian tools; Jira, GitLab, Confluence

Experience taking ML models to production

Hands-on experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

Experience with cloud platforms (e.g. AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus

Familiarity with robotics principles and technologies is highly desirable

Publications in leading AI, ML or robotics conferences

Skills

Strong proficiency in programming languages such as Python or C++

Extensive knowledge of machine learning techniques and algorithms, including but not limited to supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing

Working knowledge of PyTorch and/or TensorFlow

Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment

Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders

Traits

Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems

Optimistic listening and conflict resolution capabilities

Demonstrated ability to influence others without authority

Eager to take on new challenges with tenacity and positivity

Patience, persistence, and attention to detail when resolving performance issues

Obsession with bringing human-like intelligence to machines

Working at Sanctuary AI

Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company.

Compensation and Benefits

Sanctuary offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards.

About Sanctuary AI

Founded in 2018 by Geordie Rose, Olivia Norton, and Ajay Agrawal, Sanctuary AI is a Vancouver, Canada-based company. Sanctuary AI is on a mission to create the world’s first human-like intelligence in general-purpose robots that will help us work more safely, efficiently, and sustainably. And in the not-too-distant future, help us explore, settle, and prosper in outer space.

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