Machine Learning Engineer
📍
San Francisco Bay Area
🧪
Mid-Senior level
Machine Learning Engineer
Location: SF Bay Area (Hybrid)
Type: Full-Time
Salary: Up to $200K plus benefits
Are you passionate about space technology with a strong background in computer vision and machine learning? An enthusiastic Machine Learning Engineer is needed to join a growing start-up in the Bay Area that provides in-space domain awareness and in-space servicing solutions for governments and businesses.
Your Role:
- Design and implement computer vision algorithms tailored for space applications.
- Collaborate with multidisciplinary teams to integrate these solutions into spacecraft systems.
- Utilize machine learning and neural networks to analyze space-related datasets.
- Stay updated with the latest in machine learning and AI technologies.
Responsibilities:
- Apply advanced machine learning methods like reinforcement learning and deep learning in autonomous space systems.
- Develop algorithms for processing satellite imagery and space-related data.
- Work closely with engineers from various disciplines and effectively document and communicate technical concepts.
Qualifications:
- 2+ years of experience in computer vision, machine learning, neural networks, and related fields.
- Degree in Computer Science, Software Engineering, or related areas.
- Proficiency in Python, C++, Java, and deep learning frameworks like TensorFlow or PyTorch.
- Interest in space applications and exploration, with experience in space systems or robotics preferred.
- Strong problem-solving skills and excellent communication abilities.
If you're excited to contribute to innovating within the new space economy, apply now to join this dynamic team and help shape the future of sustainable space exploration.
Feel free to hit apply below or send your resume to javid.pond@nebula-search.com