Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need a Bachelor's or Master's degree in Computer Science, AI, ML, or related field, 3+ years of AI/ML engineering experience, proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, strong understanding of ML algorithms, experience with data preprocessing and model evaluation, familiarity with cloud platforms and MLOps, plus excellent problem-solving, communication, and teamwork skills.
This information is not specified in the job description.
This information is not specified in the job description.
The role involves working collaboratively in a fast-paced environment with cross-functional teams, participating in code reviews, and contributing to high code quality.
Strong candidates will have the required qualifications plus preferred experience with distributed computing like Spark or Hadoop, deep learning architectures, containerization with Docker or Kubernetes, and contributions to open-source AI/ML projects.
Provides launch services for small satellites
Astra provides launch services specifically for small satellites, catering to commercial businesses, government agencies, and research institutions that need reliable access to space. The company operates small, agile rockets designed to transport these satellites into low Earth orbit (LEO). Astra's approach focuses on making space more accessible by reducing the costs and complexities associated with satellite launches, which allows a wider range of customers to utilize their services. Unlike many competitors, Astra emphasizes efficiency and cost-effectiveness in its operations, aiming to meet the growing demand for satellite-based services such as Earth observation and telecommunications. The company's goal is to facilitate more frequent and affordable satellite launches, thereby expanding opportunities for various applications in the space industry.