AI Engineer (Natural Language Processing) El Segundo, CA Our mission at Skyryse is nothing less than a new era in flight, where fatalities are nearly zero, piloting any aircraft is simple and safe, and the sky is accessible to all. SkyOS, our industry-first universal operating system for flight, provides any airplane or helicopter with a fly-by-wire flight management solution that significantly reduces the complexity of flying. Skyryse One, our first production aircraft powered by SkyOS, was unveiled in 2024 and features the simplest, safest, and most intuitive flight controls in general aviation. AI ENGINEER - EL SEGUNDO, CA 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. 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 MINIMUM QUALIFICATIONS: 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 PREFERRED QUALIFICATIONS: 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 WHY SKYRYSE? The opportunity to change the world through improving aviation safety and accessibility Salary: $140,000 - $180,000 Valuable stock option plan Heavily subsidized medical, dental and vision plans Full-time employees are eligible for 20 days of paid time off (PTO) and 5 sick days annually. PTO and sick days must be used in accordance with Company policy. A company with an ambitious vision, a dynamic work environment, and a team of smart, motivated, and fun to work-with colleagues! The posted salary range reflects the potential base pay for this role, adjusted to account for varying geographic markets. Final compensation will be based on factors such as your location, job-related skills, experience, and internal alignment, including equity and benefits. WE WELCOME ALL Skyryse is an equal opportunity employer. We value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. NO AGENCY CANDIDATES WILL BE CONSIDERED.

Machine Learning Engineer Location Tampa, FL Moffitt Cancer Center Department Machine Learning-Staff Full-Time Summary Join the Rasool Lab within Moffitt Cancer Center & Research Institute to build trustworthy, clinically grounded AI that improves cancer research and care. The Machine Learning Engineer will develop end-to-end machine learning systems, especially domain-adapted speech and language pipelines, to support oncology workflows and research studies. Projects include robust ASR in noisy clinical settings, speaker diarization and long-form transcription, privacy-aware modeling (including federated learning), and NLP/LLM-based information extraction from unstructured clinical text, which is often in multimodal settings spanning radiology, pathology, molecular data, EHRs, and cancer registry data. Position Highlights: Opportunity to work in a world-class research environment focused on applied machine learning and AI for healthcare and biomedical domains, with an emphasis on trustworthy multimodal AI. Strong collaboration with interdisciplinary teams (researchers, clinicians, and data scientists), leveraging state-of-the-art computational infrastructure, and opportunities to contribute to impactful publications and open research software. Exposure to cutting-edge themes, including multimodal learning, federated learning, and LLM-enabled radiology/pathology informatics. The Ideal Candidate: Expertise in Automated Speech Recognition (ASR): Proven experience building, adapting, or optimizing ASR systems in domain-specific, noisy, or medical/clinical environments, with comfort with evaluation and error analysis for real-world audio. Strong ML & Deep Learning background: Hands-on experience with modern ML frameworks (e.g., PyTorch/TensorFlow) and practical experience with Transformer models, LLMs, or generative AI in applied settings. Solid foundation in NLP: Skilled in text representation, sequence modeling, and applying NLP to unstructured, domain-specific datasets (clinical notes, reports, transcripts). Federated / privacy-preserving learning exposure: Understanding of distributed ML systems and privacy-aware approaches for sensitive or regulated data. Healthcare/medical data familiarity: Experience with speech, text, EHR-derived data, and/or multimodal biomedical datasets, comfort working with clinical stakeholders and study constraints. Software engineering rigor (highly valued): Writes maintainable, tested, well-documented code, with experience in version control, reproducible pipelines, and collaborative development. Responsibilities: Support principal investigators through the development of machine learning and deep learning software for cancer research, from prototyping to robust, reusable pipelines. Collaborate with investigators and multi-institutional consortia on research software planning and implementation, including privacy-aware and cross-site workflows when needed. Design, develop, and maintain machine and deep learning software for oncology research applications, with a focus on ASR/NLP systems and multimodal AI projects. Build evaluation and monitoring approaches (data quality checks, performance metrics, failure-mode analysis) to keep models reliable in clinical-like conditions. Credentials and Qualifications: Minimum of a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field and at least two (2) years of software development/machine learning engineering experience. A Master’s degree in Electrical Engineering, Computer Science, or a closely related field is preferred. Demonstrated experience implementing ML systems in Python (and/or similar languages) with strong software engineering practices (testing, documentation, reproducibility). Interested applicants should attach a cover letter summarizing their research training and accomplishments, along with a current CV listing recent publications, to Dr. Rasool at ghulam.rasool@moffitt.org. Moffitt Cancer Center is an NCI-designated comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the US. Moffitt Team Members: Eligible for an annual Team Member Incentive Eligible for an annual Team Member Merit Increase Have an Inclusive Benefits package - Health, Financial, & Lifestyle coverage If you're driven to build rigorous, trustworthy AI that advances cancer research, we welcome your expertise. Bring your machine learning skills, engineering discipline, and passion for impactful innovation—there’s a place for you in our mission.