Machine Learning Engineer, Perception

• Design & Deploy: Build and deploy highly reliable ML solutions both for the backend as well as optimized for resource-constrained, real-time environments.
• Monitor and Improve: Support and improve existing ML models and infrastructure, sharing in the team’s expertise.
• Collaborate: Partner across hardware, software, and flight-testing teams to take features from concept to production-ready flight code.

• 3+ years of experience in ML, deep learning, or computer vision, ideally within robotics or autonomous systems.
• MS degree in Computer Science, Robotics, Aerospace, Mechanical Engineering or 2 years of experience working on problems involving above mentioned skills in a directly related field
• Excellent software design and implementation skills
• Proficiency in Python and/or C++.
• Hands-on experience with JAX, PyTorch, or TensorFlow, building training/inference/validation pipelines.
• Familiarity with modern CV architectures (CNNs, Transformers, etc.).
• Domain Expertise: Hands on experience in one or more of the following domains:
• Multi-view Geometry & 3D Reconstruction.
• Monocular or Stereo Depth Estimation.
• Object detection, localization, Semantic Segmentation.
• Local and global image features
• Vision foundation models, VLMs, VLAs
• Ability to design and implement well thought-out simple solutions to business critical problems

The US base salary range for this full-time position is the salary range below + bonus + equity + benefits.

Wing’s salary ranges are determined by role, level, and location.

Your recruiter can share more about the specific salary range for your location during the hiring process.

Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

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