Senior Technologist Machine Learning

About This Role The Mission

Precision product development is one of the last frontiers where AI has not yet been systematically deployed at the physics level. We are changing that. As the ML Technical Lead on this team you will be the person who makes physics-informed AI work in product development not as a research prototype but as a deployed system that drives real engineering decisions. If that is the kind of problem you want to work on we want to talk to you.

Key Responsibilities

• Deep Learning Systems Architecture & Ownership : Design and own CNN U-Net and ViT systems for precision inspection measurement and defect classification. Own real-time anomaly detection from sensor and time-series product development data streams. Highest day-to-day output responsibility.
• Physics-Informed AI & Surrogate Modeling: Validate and deploy PINNs methodology originated by the ARS own product development implementation physics-constraint validation against engineering requirements and surrogate model pipelines. You are the product development -side authority; the ARS designs the methodology; you validate and deploy it to real product development systems.
• Active Learning Pipeline Architecture: Architect active learning pipelines and Bayesian experimental design frameworks integrating ARS-designed acquisition functions with DE-supplied feature data and laboratory scheduling systems. This workstream directly reduces physical experiment cost.
• MLOps Platform Ownership: Own the full ML platform: MLflow Docker AWS EKS/Kubernetes LLM Gateway (LangFuse/PortKey) CI/CD observability and model monitoring. Architect the platform; delegate maintenance to team once stable.
• Technical Direction & Team Architecture: Lead design reviews and code reviews; provide technical direction to team; define data interface contracts with the DE; partner with domain scientists from problem definition through deployment; mentor junior team members.

Qualifications :

Requirements

Education

• Bachelors or Masters degree in Artificial Intelligence Machine Learning Computer Science or related field. AI major or strong AI research focus preferred. Equivalent depth demonstrated through open-source contributions or significant GitHub portfolio will be considered.

Experience

• Minimum 3-5 years of hands-on technical experience 
• Demonstrated technical ownership of AI systems from design to product development deployment.
• Proven direction of a small ML or AI engineering team clear technical leadership with evidence of design reviews mentoring and cross-functional delivery.
• Track record of shipping ML models into product development.
• Experience in materials science semiconductor precision product development or equivalent scientific/industrial AI is a strong differentiator.
• Significant open-source ML contributions public technical writing or a documented GitHub portfolio demonstrating scientific ML or product development ML engineering depth will be evaluated alongside work experience records.

Must have Skills:

• Python: Expert-level proficiency - Primary language for all ML System work
• PyTorch: Expert - Custom loss functions full training loop ownership
• Computer Vision: CNN U-Net ViT full architecture range for inspection defect detection and measurement
• Anomaly Detection: Real-time anomaly detection from sensor and time-series product development data streams
• Surrogate Modeling: Data-efficient ML in limited-data scientific regimes; end-to-end pipeline ownership
• Active Learning & Bayesian Experimental Design: Acquisition function pipelines; laboratory scheduling and instrument control integration
• Product Development MLOps: MLflow Docker AWS EKS Observability Platforms like LangFuse PortKey or other LLM Gateways)

Good-to-Have Skills:

• PINNs: Validate ARS-originated designs; own physics-constrained product development models.
• Reinforcement Learning:
• RAG / GraphRAG retrieval-augmented generation pipeline ownership
• LangFuse / PortKey LLM Gateway and agent observability
• RLHF & reward modeling domain expert feedback integration
• AWS LLM Finetuning (LoRA QLoRA) LLM Distillation

Additional Information :

#LI-FN1 

WD thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to WD Ethics Helpline or email .

WD thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to WD Ethics Helpline or email .

Remote Work :

No

Employment Type :

Full-time