Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The base salary ranges from $145,000 to $240,000, depending on experience, skill set, and fit. They also offer equity and benefits as part of the total compensation package.
The role is hybrid with a remote-friendly, flexible work environment that values work-life balance.
Candidates need 5+ years in software engineering focused on AI/ML, proven experience with LLM-powered workflows using tools like Langfuse or TensorZero, strong Python skills with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face, and experience deploying on cloud platforms like AWS, Azure, or GCP.
SuperDial offers a remote-friendly environment valuing work-life balance, significant responsibility from Day 1, and a team committed to building cutting-edge AI applications in healthcare.
Strong candidates have 5+ years in AI/ML software engineering, experience scaling LLM workflows with tools like Langfuse or TensorZero, Python proficiency with frameworks like PyTorch, cloud deployment experience, and preferably expertise in voice AI or healthcare/SaaS.
Develops electric vertical takeoff aircraft
Supernal focuses on transforming urban transportation through the development of electric Vertical Takeoff and Landing (eVTOL) vehicles. These electric aircraft are designed to take off and land vertically, providing a zero-carbon and efficient transportation option for cities. Supernal targets urban planners, city governments, and private transportation companies, offering solutions to reduce ground traffic congestion and carbon emissions. Their business model includes the development, production, and operation of eVTOLs, generating revenue through sales, leasing, and support services like maintenance and fleet management. Based in Irvine, California, Supernal emphasizes safety and customer needs, with their eVTOL model, the S-A2, featuring eight tilting rotors to address engineering challenges. The company aims to set a high standard for advanced air mobility and believes in the importance of collaboration within the community to achieve success.