Senior Applied Scientist - Production ML for Real World

Siemens Mobility; Bellevue (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health benefits

Job summary

Siemens Mobility is seeking a senior applied machine learning researcher to advance capabilities such as perception, language and agents, time series, and control in production-grade systems. You will lead end-to-end research projects, develop evaluation pipelines, and work with engineers to translate research into robust production pipelines with strong emphasis on reproducibility and safety.

The role requires 6+ years in ML/AI research with a track record of shipping impactful models,

Qualifications

• 6+ years in applied ML, 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
• Clear written and verbal communication with engineers, product managers, and senior leaders

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
• Lead 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
• Identifyand 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

Job description

Siemens Mobility is seeking a senior applied machine learning researcher to advance capabilities such as perception, language and agents, time series, and control in production-grade systems. You will lead end-to-end research projects, develop evaluation pipelines, and work with engineers to translate research into robust production pipelines with strong emphasis on reproducibility and safety.

The role requires 6+ years in ML/AI research with a track record of shipping impactful models,