Applied AI/ML Engineer

Boston, MA

In PersonFull-time

About the Role

Atomscale builds intelligent systems for advanced materials synthesis enabling dynamic process control and breakthroughs in new materials.

We are seeking an Applied AI/ML Engineer to support the development, deployment, and scaling of models for materials processing and characterization data. Your work will bridge research and production, enabling real-time, data-driven optimization of manufacturing processes with atomic-scale precision, impacting some of the most important technology applications in the world.

Responsibilities

  • Model Development. Design, train, validate, and deploy machine learning models to extract real-time insights from advanced materials characterization and process data.
  • Model Infrastructure. Develop, deploy, and maintain pipelines for model training, testing, validation, and versioning.
  • Model Evaluation. Implement systems for model validation, drift detection, and performance monitoring in production.
  • Model Optimization. Optimize models for accuracy, scalability, interpretability, and low-latency inference in real-world production environments.
  • Data Engineering. Build and optimize robust data ingestion and preprocessing pipelines for high-resolution multimodal datasets.
  • Collaboration. Partner with materials scientists, process engineers, and product teams to integrate features into our platform and workflows.
  • Research & Innovation. Identify, evaluate, and apply state-of-the-art AI/ML techniques relevant to materials science and process automation.

Qualifications

  • Strong proficiency with Python and accompanying deep learning frameworks (e.g. PyTorch, JAX, vLLM, Ray). Experience with Rust is a plus.
  • Strong proficiency with AI/ML operations frameworks (e.g. Weights & Biases, MLflow, or similar).
  • Familiarity with modern containerization, orchestration, and version control tools (e.g. Docker, CI/CD, git).
  • Excellent communication skills and ability to effectively present technical information.
  • Understanding of scientific and industrial datasets (e.g. spectroscopy, microscopy, metrology, or sensor data) is a plus, but not required.
  • Advanced degree (PhD, MS) in materials science, physics, computer science, or related technical fields is a plus, but not required.

You'll Succeed If...

  • You enjoy solving challenging problems and continuously improving models based on feedback and new data.
  • You are excited to apply techniques at the forefront of high performance computing to foundational technical problems and complex engineering datasets.
  • You're ready to get in at the ground floor with an efficient, focused, and highly technical team building for live production deployments today.

Bonus Points

  • A track record of applying AI and ML to domains including semiconductor research or materials science.
  • Prior experience in a startup or founding environment where you helped shape the direction of AI-powered products.
  • Hands-on experience working with thin-film fabrication and process tools.

Why Join Atomscale?

  • Help bring next-generation tools to the semiconductor and nanotechnology industries, redefining how innovation happens.
  • Work on a mission-critical product that will shape the future of high-tech R&D and manufacturing.
  • Collaborate closely with a small, passionate team, and make a direct impact from day one.

To Apply

Email jobs@atomscale.ai with the job title and following details:

  • Resume
  • Cover letter
  • LinkedIn profile
  • GitHub profile, personal website, etc.