Otto Aerospace · 2 hours ago
Engineer, Machine Learning
United States
Full-time
Remote
Mid Level
3+ years expOtto Aerospace is developing the world’s first fifth-generation business jet focusing on sustainability. They are seeking a Machine Learning Engineer to design and deploy scalable AI/ML solutions, optimize model performance, and collaborate with teams to advance AI initiatives.
AerospaceTransportationAir Transportation
Responsibilities
Design and Develop AI/ML Solutions
Develop and implement models for advanced use cases, such as natural language processing, classification, and recommendation systems
Apply state-of-the-art machine learning techniques, including large language models (LLMs), generative AI, focusing on performance optimization and scalability
Optimize Infrastructure and Pipelines
Design scalable training pipelines and inference systems to handle large-scale data processing
Develop and optimize data storage and retrieval systems, such as vector databases, to ensure fast and reliable performance
Software Development and Integration
Collaborate with the AI Lab and cross‑functional teams to integrate machine learning models into existing systems while contributing to end‑to‑end platforms that combine AI capabilities with intuitive user experiences
Implement best practices in DevOps, including CI/CD, containerization, and cloud deployment
Monitor and Improve Model Performance
Build monitoring tools and evaluation frameworks to track machine learning models in production, ensuring sustained quality, accuracy, compliance, performance, and scalability
Collaborate with teams to troubleshoot and resolve performance issues, optimizing for latency and efficiency
Contribute to Innovation
Support the development of AI-driven automation tools and decision-making systems
Participate in exploring and piloting emerging technologies to enhance the Lab’s capabilities
Qualification
Required
Hands-on experience in designing, deploying, and maintaining production-grade machine learning systems
Proven ability to work with both structured and unstructured data in large-scale environments
Strong problem-solving and analytical thinking abilities
Excellent communication and collaboration skills to work with cross-functional teams
Ability to manage competing priorities and deliver high-quality work within deadlines
Mentor team members and contribute to the knowledge-sharing culture within the Lab
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Master's preferred)
3+ years of experience in machine learning engineering or software development
Experience with LLMs, NLP, generative AI, and advanced deep learning techniques
Proficiency in PyTorch, TensorFlow, and distributed training frameworks
Knowledge of scalable data pipelines, inference systems, and cloud computing platforms (e.g., AWS, Google Cloud, Azure)
Familiarity with vector databases, ETL pipelines, and real-time processing systems
Proficiency in Python, and experience with Java and C++ for building production-grade systems
Experience with software development practices such as version control (Git), containerization (Docker), and API design
Expertise in feature engineering, ETL processes, and handling large-scale datasets
Strong command of SQL and tools for data manipulation and analysis
Preferred
Familiarity with monitoring tools such as Prometheus, MLflow, and OpenTelemetry
Experience in deploying AI systems with Terraform, Kubernetes, or similar DevOps tools
Exposure to SaaS platform development or intelligent recommendation systems
Benefits
Subsidized medical, dental, and vision coverage
401(k) opportunities
Paid short term disability
Voluntary long-term disability
Additional term life
15 paid days off
13 paid company holidays
Paid sick leave
Potential bonuses
Stock options
Company
Otto Aerospace
Otto is creating the future of sustainable air travel through paradigm-shifting design, performance and economics.
51-200 employees
H1B Sponsorship
Otto Aerospace has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2021 (1)
Funding
Current Stage
Growth StageLeadership Team
Paul Touw
Chief Executive Officer
J. Scott Drennan
President & COO
Recent News
2025-09-15
2025-06-21
GlobeNewswire
2025-06-16
Company data provided by crunchbase