Computer Vision Engineer

🏢 Palantir Technologies📍 Fairbanks, AK, United States💼 Full-Time💻 On-site🏭 Artificial Intelligence, Software Development💰 100000-160000 per year

About the Company

Palantir Technologies is a software company that builds enterprise data platforms for use by organizations with complex and sensitive data environments. We are known for our work in defense, intelligence, and law enforcement sectors, empowering users to make better decisions from data. Our platforms are designed to help solve the world’s most critical problems by integrating vast amounts of data to provide actionable insights. We value innovation, intellectual honesty, and a commitment to mission.

Job Description

We are seeking a highly skilled and motivated Computer Vision Engineer to join our innovative team in Fairbanks, Alaska. This role is crucial for developing and implementing advanced computer vision algorithms and systems to tackle complex challenges across various domains, including remote sensing, geospatial intelligence, and autonomous systems. The successful candidate will work on cutting-edge projects, contributing to the design, development, and deployment of robust, scalable computer vision solutions. This position offers an exciting opportunity to apply your expertise in a unique and challenging environment, with a focus on real-world impact. Visa sponsorship is available for exceptional candidates.

Key Responsibilities

  • Design, develop, and optimize computer vision algorithms for tasks such as object detection, tracking, recognition, image segmentation, and 3D reconstruction.
  • Implement and integrate computer vision models into large-scale data platforms and applications.
  • Collaborate with data scientists, software engineers, and domain experts to understand requirements and deliver effective solutions.
  • Evaluate and benchmark the performance of computer vision systems using rigorous metrics.
  • Stay current with the latest advancements in computer vision, machine learning, and deep learning research.
  • Contribute to the entire software development lifecycle, from concept to deployment and maintenance.
  • Participate in code reviews, technical discussions, and knowledge sharing within the team.

Required Skills

  • Proficiency in Python and/or C++ programming languages.
  • Strong understanding of computer vision fundamentals, image processing, and machine learning concepts.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Familiarity with computer vision libraries like OpenCV, scikit-image.
  • Solid grasp of linear algebra, calculus, and statistical methods relevant to computer vision.
  • Experience with version control systems (e.g., Git).
  • Ability to work effectively in a collaborative team environment.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Experience with large-scale image and video data processing.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Experience with GPU programming (e.g., CUDA).
  • Knowledge of geospatial data processing and remote sensing applications.
  • Previous experience with real-time computer vision systems or embedded systems.

Perks & Benefits

  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • 401(k) retirement plan with company matching.
  • Relocation assistance for eligible candidates.
  • Visa sponsorship for qualified international applicants.
  • Opportunities for professional development and continuous learning.
  • A vibrant and intellectually stimulating work environment.
  • On-site gym and wellness programs.
  • Fully stocked kitchens with snacks and beverages.

How to Apply

Interested candidates are invited to submit their application by clicking the "Apply Now" button below. To ensure your application is considered, please include the following:

  • A current resume
  • A cover letter outlining your suitability for the role and your motivation for applying.

We review applications on a rolling basis and will contact shortlisted candidates for an interview.

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