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Machine Learning Engineer – HD Map image - Rise Careers
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Machine Learning Engineer – HD Map

Bot Auto builds cutting-edge autonomous driving and HD mapping systems; the HD map team seeks a Machine Learning Engineer to design and deploy learning-based algorithms for real-time map building in both well-maintained roads and complex construction scenarios. The role emphasizes transformer-based spatial-temporal perception, multi-sensor fusion, dataset curation, and close collaboration with perception, localization, and planning teams to deliver robust, production-ready mapping components.

Skills

  • In-depth deep learning and computer vision expertise
  • Experience with transformer architectures and spatial-temporal models
  • Hands-on proficiency with PyTorch or TensorFlow
  • Strong Python programming; familiarity with C++ preferred
  • Experience processing camera and LiDAR data and multimodal fusion
  • Production model deployment and real-time inference knowledge
  • Dataset curation, annotation workflows, and evaluation metrics

Responsibilities

  • Design, train, and deploy deep learning models for lane markings and road feature detection using camera, LiDAR, and multimodal sensor data.
  • Develop and iterate transformer-based and other modern architectures for spatial-temporal perception and online HD map updating.
  • Handle complex edge cases such as poorly painted lanes, temporary construction zones, and adverse weather conditions.
  • Integrate learning-based map components with perception, localization, and planning systems.
  • Perform data analysis, dataset curation, annotation strategy, and model evaluation for production pipelines.

Education

  • Master’s or Ph.D. in Computer Science, Computer Engineering, Robotics, Mathematics, or related field
  • Equivalent practical experience in ML/CV with demonstrable projects may be considered

Benefits

  • Competitive salary and equity opportunities
  • Comprehensive health, dental, and vision benefits
  • Flexible and remote work options with Houston preference
  • Paid time off and parental leave
  • Opportunities to publish and collaborate on research
  • Cutting-edge hardware and tooling for ML development
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$175000 / YEARLY (est.)
min
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$140000K
$210000K

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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
SALARY RANGE
$140,000/yr - $210,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
October 21, 2025
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