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Amsterdam
5 days ago
Senior Applied Scientist logo

Senior Applied Scientist

TomTom

Amsterdam
5 days ago
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Senior Applied Scientist

Senior Applied Scientist needed for TomTom's ALF team in Amsterdam, working on HD maps and ADAS technology. Requires 4+ years of experience in applied science or machine learning, proficiency in Python, and experience with ML frameworks and large-scale data processing. The role involves leading algorithm and ML system development, mentoring junior engineers, and driving quality improvements.

Core AIHybridFull-timeSeniorPythonPyTorch

Senior Applied Scientist

Senior Applied Scientist needed for TomTom's ALF team in Amsterdam, working on HD maps and ADAS technology. Requires 4+ years of experience in applied science or machine learning, proficiency in Python, and experience with ML frameworks and large-scale data processing. The role involves leading algorithm and ML system development, mentoring junior engineers, and driving quality improvements.

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Core AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: 2 days per week in office, 3 days remote

Experience Required

4 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
PythonPyTorchTensorFlowApache SparkDatabricksMachine LearningAlgorithm DesignStatisticsExperimental DesignComputer VisionMLOpsGeospatial AnalysisData PipelinesAgileCode Review
Soft Skills
MentoringCommunicationCuriosityProblem SolvingCollaboration

Preferred Qualifications

Technical (Nice-to-have)
Master's degreePhD

Key Responsibilities

  • •Develop high-quality algorithms and ML software for TomTom's HD maps for ADAS.
  • •Lead design, implementation, and integration of algorithms, ML systems, and data pipelines.
  • •Drive measurable improvements in output quality (recall, precision, latency, cost) against customer-facing targets.
  • •Lead well-scoped projects and own components within the team's processing pipelines.
  • •Tackle complex technical problems at scale: noisy upstream signals, geospatial geometry, ground truth quality, and large-scale evaluation pipelines.
  • •Build iteratively using agile methodologies and rigorous experimentation; document outcomes.
  • •Mentor junior engineers and interns, provide insightful code reviews, and contribute to hiring.
Applied ScienceMachine LearningHD MapsADASPythonPyTorchTensorFlowSparkComputer VisionSenior
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