Machine Learning Engineer at Sanctuary AI

Vancouver, British Columbia, Canada

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

Requirements

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)
Demonstrated experience applying ML techniques in real-world systems
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)
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
Traits: a consistently positive attitude, a willingness to do whatever it takes to create robust solutions, a strong work ethic, and a passion for bringing human-like intelligence to robots

Responsibilities

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
Work closely with researchers to implement and deploy novel ML techniques into production
Travel occasionally (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects

Skills

Key technologies and capabilities for this role

Machine LearningSoftware DevelopmentModel DeploymentAlgorithm OptimizationRoboticsPythonTensorFlowPyTorch

Questions & Answers

Common questions about this position

What education and experience are required for this Machine Learning Engineer role?

A Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field is required, along with 3+ years of experience in machine learning methods and 4+ years of software engineering experience focused on production-grade applications.

What technical skills and tools are needed for this position?

Proficiency in Python and C++ is required, along with experience in ML frameworks like PyTorch, TensorFlow, scikit-learn, ROS2, and parallel computing such as CUDA or OpenMP. Hands-on experience deploying ML models to production and familiarity with robotics principles are highly desirable.

Is this a remote position, or is travel required?

This is a full-time role, but it requires occasional travel, typically one to two weeks at a time, several times per year, to collaborate with partners and teams. Remote work policy is not specified.

What is the team environment like at Sanctuary AI?

You'll join a team of seasoned engineers, researchers, and scientists dedicated to tackling challenges in robotic perception, dexterous manipulation, planning, and reasoning, collaborating closely with cross-functional teams and providing mentorship to junior members.

What makes a strong candidate for this Machine Learning Engineer role?

Strong candidates have demonstrated experience applying ML techniques in real-world systems, specialization in areas like reinforcement learning for dexterous manipulation or computer vision for robotics, hands-on production deployment experience, and familiarity with robotics.

Sanctuary AI

Develops humanoid robots for workplace automation

About Sanctuary AI

Sanctuary AI develops humanoid robots designed to work alongside humans in various industries. Their main product, Phoenix™, is a general-purpose robot that can be remotely piloted or operate autonomously, allowing it to observe, assess, and perform tasks as needed. This versatility enables businesses to automate processes, enhance efficiency, and improve safety in the workplace. Unlike many competitors, Sanctuary AI focuses on creating robots that can seamlessly integrate into human work environments, providing training for these robots to ensure effective collaboration. The goal of Sanctuary AI is to advance the capabilities of AI and robotics to create safer and more productive workplaces.

Vancouver, CanadaHeadquarters

2018Year Founded

$86.1MTotal Funding

GRANTCompany Stage

Robotics & Automation, AI & Machine LearningIndustries

51-200Employees

Benefits

Medical, dental, & vision insurance

Wellness programs

Stock options

PTO

Schedule flexibility

Risks

Leadership changes, like Geordie Rose stepping down, may disrupt strategic direction.

Increased competition from well-funded companies could challenge Sanctuary AI's market position.

Technical hurdles in achieving human-level dexterity may delay product deployment.

Differentiation

Sanctuary AI developed Phoenix™, the first general-purpose humanoid robot with human-like intelligence.

Their proprietary AI system, Carbon™, enables autonomous task execution and remote supervision.

Sanctuary AI's tactile sensor technology enhances robot dexterity, setting them apart in robotics.

Upsides

Sanctuary AI secured $140 million in funding, boosting innovation and development capabilities.

Phoenix™ was recognized in TIME’s Best Inventions 2023, enhancing brand visibility and credibility.

Prominent investors like Accenture and Verizon Ventures show confidence in Sanctuary AI's potential.

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