A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
Nextera Robotics | DIDGE.ai is a fast-growing Industrial Robotics and AI company founded at MIT. We build and deploy advanced AI systems and autonomous technologies for Fortune 500 clients. We are building a future where AI-native systems and robots handle repetitive, high-friction, and physically demanding work. We move fast with small, agile teams. Autonomy is expected. You'll see your work go from idea to production and create real value in the field. The work is challenging, deeply technical, and highly rewarding. This role is ideal for a strong programmer with a versatile software development background and a passion for AI, machine learning, and robotics.
What you will do:
Build and productionize advanced computer vision and multimodal AI systems for real-world industrial deployment, with a focus on VLM/LLM-powered reasoning, machine vision, and advanced spatial AI. Transform large-scale visual data collected by autonomous robots into actionable insights for progress tracking, safety monitoring, and project intelligence. Develop AI systems for use in robotics, construction, energy, and telecommunications
Required:
3+ years of proven academic or industry experience building AI systems. Advanced "manual" coding and debugging skills (acquired during the "pre-agentic" era); Proficiency using modern AI-assisted development tools Solid problem-solving skills, strong ownership, and the ability to communicate clearly across technical and non-technical teams Familiarity with data pipelines, model evaluation, and real-world ML workflows Good to have: Strong background in mathematics, statistics, physics, or another highly quantitative field Experience with VLMs, LLMs, or multimodal AI systems Familiarity with MLOps, cloud infrastructure, and training or deployment pipelines Back-end experience with modern frameworks; Django and MySQL are a plus Working at Nextera is a great opportunity for those who love to get things done. The work is challenging, deeply technical, and incredibly rewarding - you'll see your models and systems make the jump from development to real-world deployment. We'll be very excited to learn more about you and welcome you to the Nextera Robotics team! Competitive salary based on experience, plus great perks. Join a YC-backed startup shaping the future of robotics!
