Machine Learning Engineer

Your New Role and Team
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.
Members of the Sanctuary AI team founded D-Wave (a pioneer in the quantum computing industry), Kindred (first use of reinforcement learning in a production robot), and the Creative Destruction Lab (pioneered a revolutionary method for the commercialization of science for the betterment of humankind).
The team has experience launching market-defining innovations rooted in previously unsolved and deep scientific problems.
Recruiting & Employment Agency Notice:

Recruitment and hiring is conducted internally by Sanctuary AI.
We are not seeking or soliciting any new agency partnerships or agreements at this time .
Any employment agency or professional recruiter ('Agency') that provides an unsolicited resume(s) or otherwise presents a prospective job candidate through the Sanctuary AI career site or directly to any Sanctuary AI employee, irrevocably grants to Sanctuary AI the unrestricted right to engage, hire, or contract with that candidate at Sanctuary AI's sole discretion without any compensation to the Agency.
We appreciate your interest in working together, and should the need arise our Talent Acquisition team will contact any external firms directly.
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