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Engineering Manager, Perception and Machine Learning

havocai

New
🇬🇧 English
sensor fusion tracking detection classification segmentation model training model evaluation data curation deployment workflows

Job description

About the role

As Engineering Manager for Perception and Machine Learning at HavocAI, you will lead a multidisciplinary team that builds the perception stack enabling autonomous systems to sense, understand and act in complex environments.

Key responsibilities

  • Lead, mentor and grow a team of engineers specializing in perception, machine learning, sensor fusion and software development.
  • Define and execute the roadmap for perception and ML capabilities, aligning priorities with product, autonomy and field‑operation needs.
  • Collaborate with senior technical contributors to shape architecture for computer‑vision, tracking, detection, classification and segmentation pipelines.
  • Oversee model training, evaluation, data curation, validation and deployment workflows to ensure reliability and field readiness.
  • Translate mission and product requirements into clear engineering plans and deliverables.
  • Implement engineering best practices including design reviews, code reviews, testing, release readiness and documentation.
  • Identify and mitigate execution risks, resource constraints and technical dependencies.

Required profile

  • Proven experience leading technical teams in perception, computer vision or robotics domains.
  • Strong background in machine learning, sensor fusion and autonomous systems.
  • Ability to balance technical decisions with team development and fast‑changing priorities.
  • Excellent communication skills to work cross‑functionally with autonomy, embedded, data, simulation and product teams.

Required skills

  • Perception algorithms
  • Machine learning model development
  • Computer vision techniques
  • Sensor fusion and tracking
  • Detection, classification and segmentation
  • Model training, evaluation and validation pipelines
  • Data curation and deployment workflows

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Source : ats:ashby

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Published 2 days ago

Expires 1 month from now

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