Industrial AI Scientist: From Research to Production

Siemens Mobility; Bellevue (WA); On-site; USD 112,000 - 151,000; Full time

Job summary

Siemens Mobility in Bellevue, WA is seeking an Applied Scientist to develop ML models that run in production across industrial environments. You will collaborate with engineers and product managers to translate research into scalable systems, with rigorous evaluation, observability, and reproducibility.

The role requires 2+ years in applied ML and strong Python proficiency. You will contribute to end-to-end capability areas such as perception, language, or time series.

Qualifications

• 2+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact
• Strong foundation in machine learning theory and practice across training, evaluation, and deployment
• Proficiency in Python and modern ML frameworks and toolchains
• Strong partnership track record with engineering teams on data, training infrastructure, and inference

Responsibilities

• Contribute to one or more scientific capability areas end to end, for example perception, computer vision, language and agents, time series, control, planning, or evaluation
• Take problems from ambiguous product or system requirements through clear research questions, hypotheses, and success metrics
• Contribute to applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization
• Build and run the evaluation pipelines for the work youown: offline metrics, online experiments, robustness testing in industrial conditions
• Work with engineers to take models into production grade pipelines: data readiness, training infrastructure, inference, observability
• Make scientific tradeoffs in front of engineers and product managers, with evidence, and translate them into decisions the team can act on
• Identify and de-risk scaling challenges in your area: data quality, model drift, latency, throughput, cost, safety
• Raise the bar on experimentation rigor, reproducibility, and documentation across the team
• Apply responsible AI practices in your work: bias detection, model risk management, human in the loop controls

Skills

Applied ML

Python

Production systems

ML frameworks

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Siemens Mobility in Bellevue, WA is seeking an Applied Scientist to develop ML models that run in production across industrial environments. You will collaborate with engineers and product managers to translate research into scalable systems, with rigorous evaluation, observability, and reproducibility.

The role requires 2+ years in applied ML and strong Python proficiency. You will contribute to end-to-end capability areas such as perception, language, or time series.