Orbit ML Technical Lead at Boston Dynamics

Waltham, Minnesota, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Industrial AutomationIndustries

Requirements

BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field
Expert-level software development skills, particularly in Python, with a strong command of software architecture, design patterns, and performance optimization techniques
Experience training, fine-tuning, and applying state-of-the-art generative AI models, preferably focused on computer vision tasks
Experience with common ML tools (CUDA, PyTorch), architectures, and workflows
Ability to track the current state of the art and identify opportunities for product applications
Willingness to dive deep into challenging problems in computer vision, develop creative customer-focused solutions in collaboration with teammates, and clearly communicate findings

Responsibilities

Be a technical lead on a small team of machine learning engineers
Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information (e.g., anomalous machine states, object classification)
Establish effective methods of evaluating inspection model performance
Curate datasets to be used in model training, fine-tuning, and evaluation
Identify and employ model performance improvement strategies (e.g., fine-tuning, model selection, prompt engineering)

Skills

Key technologies and capabilities for this role

Machine LearningPythonMultimodal DataFoundation ModelsFine-tuningPrompt EngineeringSoftware ArchitectureRoboticsModel EvaluationDataset Curation

Questions & Answers

Common questions about this position

What experience level is required for the Orbit ML Technical Lead role?

Candidates need a BS with 10+ years of experience or an MS with 7+ years in Computer Science, Machine Learning, Robotics, or a related field.

What are the key technical skills needed for this position?

Expert-level Python software development with strong software architecture, design patterns, and performance optimization; experience training and fine-tuning state-of-the-art generative AI models, preferably in computer vision; and proficiency with ML tools like CUDA and PyTorch.

What does the team structure look like for this role?

You will be a technical lead on a small team of machine learning engineers, part of the Asset Owners applications team within the Spot organization, working alongside full stack engineers, in coordination with product management and design, supported by ML platform engineers, and collaborating with researchers across Boston Dynamics.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What qualities make a strong candidate for this role?

Strong candidates have the required experience, expert Python skills, generative AI expertise in computer vision, and the ability to track state-of-the-art advancements, dive deep into challenging computer vision problems, develop creative customer-focused solutions collaboratively, and communicate findings clearly.

Boston Dynamics

Develops advanced robots for industrial applications

About Boston Dynamics

Boston Dynamics creates advanced robots that enhance human capabilities and safety, focusing on legged robots with high mobility, dexterity, and intelligence. Their flagship products, Spot and Pick, are designed for commercial, industrial, and research applications, performing tasks that are dangerous or physically demanding for humans. Spot, for example, is a 65-pound robot that can navigate complex terrains and avoid obstacles autonomously using built-in AI. Unlike many competitors, Boston Dynamics emphasizes responsible use of their robots, limiting sales to commercial and research clients and ensuring high-quality standards through domestic manufacturing. The company's goal is to improve safety and efficiency across various industries while exploring future consumer applications.

Waltham, MassachusettsHeadquarters

1992Year Founded

$38.8MTotal Funding

ACQUISITIONCompany Stage

Robotics & Automation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Competition from affordable Chinese robotics could pressure market share and pricing.

Layoffs indicate potential financial or strategic challenges impacting future innovation.

Collaboration with multiple stakeholders may lead to strategic misalignments.

Differentiation

Boston Dynamics excels in creating robots with advanced mobility and dexterity.

Their robots are designed for unstructured environments, enhancing workplace safety and efficiency.

Spot and Atlas are pioneering robots in digital transformation and mobile manipulation.

Upsides

Collaboration with Toyota and Hyundai boosts AI-powered humanoid robot development.

Patent resolution with Ghost Robotics opens collaboration on robotics policy and technology.

AI advancements in Atlas position Boston Dynamics as a humanoid robot market leader.

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