Machine Learning Engineer
Description For Machine Learning Engineer
Nextera Robotics is a fast-growing industrial robotics and AI company founded by MIT alumni, with an impressive client base including Dunkin Donuts, Tesla, and Gilbane Building Co. As a Y-Combinator S20 graduate with significant funding, we're focused on solving industrial automation challenges.
Our work environment emphasizes autonomy and impact, with small, agile teams that minimize bureaucracy. Engineers directly contribute to transforming ideas into high-value products. This role is ideal for strong programmers passionate about AI and robotics.
As a Machine Learning Engineer, you'll be at the forefront of developing cutting-edge ML models for various industrial applications. You'll work on everything from model development to MLOps and cloud architecture, collaborating with a talented team to solve complex challenges in robotics, construction, energy, and telecommunications.
The ideal candidate combines strong technical skills in Python and MySQL with a solid foundation in mathematics or computer science. Experience with machine vision, object detection, and ViTs is crucial. We value problem-solvers who can communicate effectively and show leadership potential.
Join our team of MIT alumni and technical experts in Boston, where you'll have the opportunity to work on meaningful projects that are reshaping industrial automation. With competitive compensation and the backing of top-tier investors, Nextera Robotics offers an exciting environment for those ready to make a significant impact in the robotics and AI space.
Responsibilities For Machine Learning Engineer
- Build and maintain state-of-the-art machine learning models for robotics, construction, energy and telecommunications
- Work with engineers and annotators to grow a bank of high-quality training data
- Machine Learning Operations (MLOps)
- Maintain and build cloud architecture for ML pipelines
Requirements For Machine Learning Engineer
- Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field
- Proven academic or industry experience with machine vision, object detection, ViTs, or related technology
- Excellent Python skills
- Structured approach to problem solving, creativity, strong communication skills, leadership skills
- Familiarity with MySQL
- Back-end experience with popular frameworks, Django knowledge is an advantage
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