Machine Learning Engineer, Sanctuary AI
More information about location
Human-like intelligence robotics
Be an early applicant
Human-like intelligence robotics
101-200 employees
Be an early applicant
More information about location
101-200 employees
Company mission
To create the world’s first human-like intelligence in general-purpose robots at a time that is right to make it happen.
Role
Who you are
- Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field
- 3+ years of experience in machine learning methods, with specialization in areas such as reinforcement or imitation learning for dexterous manipulation, computer vision for robotics, or natural language processing
- 4+ years of software engineering experience, with a focus on developing and deploying production-grade applications
- Hands-on experience deploying ML models to production
- Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience with ROS2 and parallel computing (e.g., CUDA, OpenMP)
- Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus
- Demonstrated experience applying ML techniques in real-world systems is strongly valued. Publications are welcome but not expected for this role
- Familiarity with robotics principles and technologies is highly desirable
- Strong programming proficiency in Python and C++
- Working knowledge of core machine learning techniques and algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning, natural language processing) and the ability to apply them effectively in software systems
- Ability to optimize and fine-tune ML algorithms for performance and accuracy
- Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Leadership and mentorship ability, supporting the growth of junior team members
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
- Takes ownership and accountability, fostering the same in teammates
- Empathetic listener with conflict resolution capabilities
- Consistent bias for action, communication, and interpersonal savvy
- Self-motivated and able to solve problems independently
- Mission driven and passionate about bringing human-like intelligence to machines
What the job involves
- Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, 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 will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production
- With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward
- As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects
- 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
Our take
Sanctuary has set itself the ambitious task of developing human-like intelligence in general-purpose robots, intending to complement the human labor market - and eventually helping humans settle in outer space. Its robots are modelled on the size and shape of humans, and their cognitive architecture is based on the subsystems of the human brain. The hope is that this puts the so-far elusive artificial general intelligence (AGI) in closer reach.
It’s a challenging mission, but the Sanctuary team have remarkable expertise and experience. Before Sanctuary, the founders launched deep tech robotics company Kindred with backing from the likes of Google and Bloomberg Beta. Whilst it was eventually bought out by Ocado, Sanctuary was designed to pick up where Kindred’s early research left off.
Some critics suggest that Sanctuary’s technology isn’t anything new - just yet. Nor has any company promising AGI (including Tesla) offered up material results. There’s also some question as to whether AGI, technologically glamorous though it may be, is better than highly specialised systems. If it can be done, however, there’s no doubt it’ll prove a remarkable deep-tech breakthrough.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
81% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2022
$30m
GRANT
Mar 2022
$58.5m
SERIES A
Total funding: $88.5m
Company HQ
Mount Pleasant, Vancouver, BC
Leadership
Geordie Rose
(CEO)A Doctor of Theoretical Physics, who subsequently founded and served as CTO of quantum computing systems and software company D-Wave Systems, before moving on to co-found Kindred.ai.
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