Applied AI/ML Engineer

Applied AI/ML Engineer

Location: Boston, MA 

About Us: Atomscale builds intelligent systems for advanced materials synthesis enabling dynamic process control and breakthroughs in new materials. We are hiring an Applied AI/ML Engineer to support the development, deployment, and scaling of models for in-situ 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 the most important and transformative technology applications in the world.

Key Responsibilities

• Model Development: Work with the Atomscale team to 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.
• Data Engineering: Build and optimize robust data ingestion and preprocessing pipelines for high-resolution multimodal datasets.
• Model Monitoring & Validation: Implement systems for model validation, drift detection, and performance monitoring in production.
• 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.
• Performance Optimization: Optimize models for accuracy, scalability, interpretability, and low-latency inference in real-world production environments.

Qualifications

• Strong proficiency in Python and accompanying deep learning frameworks (e.g., PyTorch, JAX, vLLM, Ray). Experience in 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 (Docker, CI/CD, git).
• Excellent communication and presentation skills for technical information.
• Understanding of scientific and industrial datasets (e.g., spectroscopy, microscopy, or metrology and sensor data) is a plus but not required.
• Advanced degree (PhD, MS) in materials science, physics, computer science, or related scientific field is a plus but not required.

You’ll succeed in this role 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 [email protected] with the position and following details:

• Resume
• Brief cover letter
• LinkedIn profile
• GitHub profile, personal website, etc.

Candidate must be eligible to work in the United States without further sponsorship.