ML Software Engineer, Robotics AI Full-time

Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently? The Vulcan team is creating premier robotic workcells.

We are seeking software engineers to help with our initial robotic prototypes and workcell deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, implement, test, and monitor services in our robotic fleet. You will also have the opportunity to learn and be a part of an interdisciplinary team building all parts of the robot hardware and software stack.

Key job responsibilities

Design and test Machine Learning pipelines for vision systems on robotic platforms.

Optimize, deploy, and support at scale ML models on the edge. Influence the team’s strategy and contribute to long-term vision and roadmap.

Work with stakeholders across , science, and operations teams to iterate on design and implementation.

Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.

Work directly with customers and partners to test prototypes and incorporate feedback

Mentor other engineer team members.

A day in the life

Amazon offers a full range of benefits for you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

Program details – https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem

BASIC QUALIFICATIONS

– 3+ years of non-internship professional software development experience

– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

– Experience programming with at least one software programming language

– Experience in machine learning, data mining, information retrieval, statistics or natural language processing

PREFERRED QUALIFICATIONS

– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

– Bachelor’s degree in computer science or equivalent

– Have deployed, tested and optimized machine learning data curation pipelines, worked on ML Ops, data storage and metrics systems.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.