Source Job

  • Stay current with ML/CV research, identify promising methods, and evaluate their applicability to our domain
  • Adapt and implement algorithms from papers, validating against baselines and benchmarking for production viability
  • Own and deliver end-to-end computer vision projects focused on: Equipment defect detection, Thermal anomaly identification, Vegetation encroachment monitoring

Python PyTorch NumPy Docker

9 jobs similar to Computer Vision & Machine Learning Engineer

Jobs ranked by similarity.

US

  • Research, develop, and integrate ML models, algorithms, tools, and techniques.
  • Design, develop, and integrate ML models and algorithms to address specific problems.
  • Evaluate model performance using metrics such as accuracy, precision, and recall.

Global InfoTek Inc. excels in designing, developing, and deploying cutting-edge technologies to meet critical cyber and advanced technology needs. For over two decades, they have successfully integrated technology, operational efficiency, and business practices.

Australia

  • Design and scope greenfield machine learning projects in collaboration with the team
  • Develop and deliver end-to-end solutions to complex technical problems
  • Train and optimize deep learning models using our extensive multi-temporal, multi-angle, and 3D imagery datasets

Nearmap is driving the reshaping of how the world understands the built environment. They put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of people who plan, build, insure, and govern the places we live and work.

US

  • Travel to customer manufacturing facilities (50%+ travel required) for system installation, commissioning, and support.
  • Design and optimize vision solutions for inspection, defect detection, measurement, and guidance.
  • Train operators, engineers, and quality teams on system operation and best practices.

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery. Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

US Canada

  • Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.
  • Develop novel models, algorithms, and training methodologies for challenging vision problems.
  • Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.

Webflow is building the world’s leading AI-native Digital Experience Platform as a remote-first company built on trust, transparency, and a whole lot of creativity. They empower teams to design, launch, and optimize for the web without barriers.

$155,000–$205,000/yr
US Unlimited PTO

  • Contribute to the development of state-of-the-art techniques and algorithms for robotic perception
  • Write production code in C++ for a variety of platforms, including GPUs
  • Analyze performance and failure modes of computer vision algorithms

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors. They have customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors, employing 20 in the US team.

$155,000–$205,000/yr
US Unlimited PTO

  • Design and advance algorithms for pose estimation, SLAM, Visual-Inertial Odometry (VIO), and 3D reconstruction
  • Build and tune navigation filters including EKF and other classical state estimation approaches
  • Own sensor fusion pipelines that combine IMU and camera data in lidar-free setups

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors. They're a revenue-generating company shipping product to customers across automotive, agriculture, healthcare, and defense, and backed by Khosla Ventures and other tier-one investors. The US team consists of 20 employees and their culture is built on transparency, mutual respect, and valuing great ideas wherever they come from.

$140,000–$190,000/yr
US Unlimited PTO 2w paternity

  • Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
  • Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
  • Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.

Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.

US

  • Design, build, and maintain scalable training infrastructure for computer vision workloads
  • Implement and manage distributed training pipelines to support large-scale model training and hyperparameter tuning
  • Build and maintain robust data pipelines for ML development

Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through their advanced AI solutions. Their computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network.

Global

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions

Whiterabbit.ai's mission is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. They collaborate with a top medical school and have access to a large cancer dataset, inventing algorithms to make doctors more productive and transforming the patient’s healthcare experience.