AI Engineer (Natural Language Processing)
About The Position
We’re on a mission to make the skies safe and accessible for everyone. Our technology gives pilots greater control by simplifying the management of any aircraft during standard flight operations, inclement weather, and emergencies. Our SkyOS solution, rigorously and relentlessly developed by skilled and dedicated Skyrysers, is the key to unlocking this unbounded future. Our technology, combined with our commitment to saving lives and our passion for aviation, will empower everyone to experience the joy and freedom of flight. As an AI Engineer on our Advanced Technology Team, you will take part in designing, developing and integrating our SkyOS AI assistant. You will be given projects and tasks to develop new features, enhance throughput, and optimize architecture for this flight enhancing software. This is a full-time onsite opportunity based out of El Segundo, CA.
Requirements
- Bachelor’s or Master’s degree in an engineering discipline (Computer Science, Software Engineering, or similar)
- 3+ years of professional experience in AI and voice-to-text algorithms.
- Proficiency in Natural Language Processing
- Proficiency in Digital Signal Processing
- Proficiency in ML/Deep Learning Frameworks and frameworks like PyTorch or TensorFlow
Nice To Haves
- PhD in Computer Science (focus in AI, ML, or similar)
- Expertise in speech recognition models
- Real-time and edge deployment experience
- Piloting experience a bonus
Responsibilities
- Conduct cutting-edge generative AI and NLP research in a fast-paced, collaborative environment
- Contribute to the design of AI-driven features that enhance user experience and product functionality for aerospace applications
- Design new agent architectures to improve end-to-end performance of AI workflows
- Develop high fidelity, application specific AI applications that can be locally hosted
- Design, run, and evaluate experiments to improve LLMs on various NLP benchmarks
- Execute data engineering tasks to curate data for LLM pre-training, fine-tuning, RAG
- Help develop roadmaps that utilize generative AI and knowledge retrieval to understand and integrate new research in the product roadmap
- Understand and apply responsible AI practices, including considerations of bias, fairness, and data privacy
Benefits
- Valuable stock option plan
- Heavily subsidized medical, dental and vision plans
- 20 days of paid time off (PTO) and 5 sick days annually
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
