ML Platform Engineer, Central Software at Boston Dynamics

Waltham, Minnesota, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, TechnologyIndustries

Requirements

Hands-on experience or Interest in ML application for robotics
7+ years experience as a Senior Software Engineer or ML engineer
Demonstrated proficiency in Python, Julia, or R, and related frameworks (PyTorch, Tensorflow, Pandas, Numpy)
Knowledge of distributed computing & big data technologies for large datasets (e.g., Spark) and building data pipelines
Knowledge of Deep Learning methodologies specific to Computer Vision like YOLO
Experience with Annotation tools using SAM, Co-Tracker, etc. (plus)
Familiarity with cloud platform (e.g., Google, AWS) and scalable ML deployment methods (Docker, K8s, Ansible, Terraform)
Experience with data processing, data augmentation and data cleaning techniques
Experience with Agile, Scrum or other lean methods
Ability to work collaboratively in cross-functional teams
Bachelors in Engineering, Computer Science, or other technical area

Responsibilities

Transform proofs of concepts into scalable solutions, helping product teams deliver new robot capabilities to customers
Evolve and scale fielded solutions, enabling continuous model improvement and redeployment
Dig into and optimize both cloud and on-robot ML system implementations, for accuracy and efficiency
Work closely with other members of the ML Platform team to implement, deploy, and maintain ML infrastructure
Work with stakeholders across BD to understand requirements, ensuring deployed solutions meet end-user needs
Own end-to-end delivery of new capabilities, spanning implementation, testing, deploying, and operations
Be an active participant in our agile development process, coordinating work with others, calling out challenges, and communicating progress regularly
Use your experience to mentor/upskill peers and other contributors across the organization

Skills

Python

Julia

Machine Learning

Robotics

ML Infrastructure

Pipelines

Cloud

On-robot Systems

Agile

Software Engineering

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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