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(Jr) Machine Learning (ML) Developer
Junior ML developer who owns building and refining Laminar's machine learning models for industrial process optimization — running training experiments, ablation studies, and sensor-data pipelines from prototype to production. Core stack is Python ML frameworks (PyTorch/JAX/TensorFlow) and numeric/data libraries, on-site in Somerville, MA.
Robotics MLOps & Data Engineer (f/m/d)
Hexagon Robotics is a division of Hexagon – a global leader in precision measurement. The division develops humanoid robots for industrial sectors to address labor shortages and accelerate the transition from…
Enterprise Data Scientist
As an Enterprise Data Scientist, you will leverage cutting-edge technologies and methodologies to deliver data-driven insights and solutions for complex customer needs. You will work on end-to-end solutions, including…

Machine Learning Researcher - Agentic Science
PostEra is building an AI-first biotech. We use Proton, our AI platform for medicinal chemistry, to accelerate the discovery of new medicines for patients. PostEra is advancing an internal pipeline focused on…
Member of Technical Staff, Machine Learning (USA)
Syndesus (recruiting for a client) is hiring a Member of Technical Staff, Machine Learning — a remote US/Canada role building production ML components: fine-tuning models, building data/training/evaluation pipelines, and debugging real production systems in Python with PyTorch/JAX on GPUs.
Principal Machine Learning Engineer (USA)
Remote (US/Canada) Principal ML Engineer who owns the end-to-end machine learning stack for an AI-native proactive applications product — data pipelines, training/fine-tuning, evaluation, and GPU-based inference and deployment. Core stack: Python, PyTorch/JAX, GPU infrastructure.
Senior Machine Learning Engineer (USA)
Syndesus is recruiting a Senior ML Engineer (remote, US/Canada) on behalf of a client building a proactive, long-horizon AI product. The role owns ML subsystems end-to-end — data prep, training, evaluation, and GPU inference — using Python and PyTorch/JAX under real production constraints.

