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4M Analytics
4M Analytics
51 – 200 Darbinieki
H1B vīzas sponsorsKonsultācijasLoģistikaRažošana
4M Analytics develops digital mapping software for subsurface and above-ground utilities. Its platform combines satellite imagery and artificial intelligence to identify existing buried infrastructure and provide an up-to-date view for planning and design. Engineering firms, general contractors, and utility owners use this information to support construction projects involving roads, bridges, pipelines, and other infrastructure.
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Vakances uzņēmumā

Senior Computer Vision Algorithm Engineer

Develop computer vision and machine learning systems for 4M Analytics’ subsurface utility mapping platform. Own algorithms from research through production in partnership with data engineering and product teams.

ILIzraēlaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuInženieris
AWSEC2MākonisPythonPyTorch

Apraksts

  • Research and build computer vision and algorithmic methods for perception, learning, optimization, and graph-based reasoning
  • Run experiments, assess results, and refine solutions to meet production reliability goals
  • Own algorithm quality throughout the lifecycle, from research to production
  • Work closely with algorithm, data engineering, and product teams
  • Track production model health and detect performance declines early
  • Lead efforts to address model degradation
  • Bring AI tools into the engineering workflow
  • Design solutions and guide AI agents as they implement them
  • Strengthen technical practice through code reviews, knowledge sharing, and rigorous algorithmic reasoning

Prasības

  • Relevant bachelor’s or master’s degree and at least 7 years of industry experience as a computer vision or algorithm engineer, or a relevant PhD and at least 4 years of relevant industry experience
  • Broad, deep computer vision expertise backed by strong algorithmic fundamentals
  • Advanced knowledge of deep learning frameworks; PyTorch is preferred
  • Proficiency in Python and the ability to produce clean, production-ready code
  • Demonstrated ownership of computer vision problems from research through production
  • Strong problem-solving ability with ambiguous, unfamiliar challenges
  • Self-directed, entrepreneurial approach and accountability for results
  • Able to explain complex algorithmic decisions to technical and nontechnical stakeholders
  • Experience exploring AI tools, coding assistants, LLMs, or AI-supported workflows
  • Curiosity and motivation to build an AI-first workflow
  • Preferred: experience with GIS data or geospatial computer vision
  • Preferred: familiarity with graph neural networks or graph-based algorithms
  • Preferred: experience with AWS services such as SageMaker, S3, and EC2
  • Preferred: experience with active learning or AI-assisted annotation pipelines

Priekšrocības

  • A high-autonomy environment with meaningful responsibility from the start
  • Work on advanced computer vision and algorithmic challenges
  • Ownership across the full path from research exploration to production
  • Room to grow into architect and team lead roles
  • A management style without micromanagement
  • A voice in technical culture, technology choices, and company direction
  • Close collaboration with algorithm, data engineering, and product teams

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