MLOps Engineer, Turion Space
$160-190k
+ Equity
Office located in Irvine, CA
Satellite manufacturer & operator
Be an early applicant
Satellite manufacturer & operator
21-100 employees
Be an early applicant
$160-190k
+ Equity
Office located in Irvine, CA
21-100 employees
Company mission
To advance space sustainability, bridge national security capability gaps, and realign incentives across the value chain in satellite manufacturing.
Role
Who you are
- Bachelor's degree with equivalent practical experience
- Proven professional experience in MLOps, Machine Learning Engineering, or DevOps roles with a strong focus on operationalizing ML models
- Expertise in MLOps platforms and tools such as Kubernetes, Kubeflow, KServe, Docker, and Azure MLOps
- Experience with major cloud providers (AWS, Azure) for deploying and managing ML workloads
- Strong understanding and practical experience with CI/CD principles and tools (e.g., GitLab, Pytest)
- Fluent in Python; proficiency in SQL
- Excellent communication, creative problem-solving, and team collaboration skills
What the job involves
- We are seeking a highly skilled and passionate MLOps Engineer to join our visionary AI/ML team to drive the operationalization of our machine learning initiatives
- In this role, you’ll be critical and instrumental in bridging the gap between cutting-edge ML research and robust, scalable, production systems
- If you thrive on building and optimizing workflows and are passionate about building resilient infrastructure that powers the future of AI in space and ensures continuous delivery of high-performing models and algorithms, we encourage you to apply
- Develop, implement, and maintain end-to-end machine learning pipelines, encompassing data ingestion, model training, validation, deployment, and monitoring
- Architect, build, and manage scalable and reliable cloud-native infrastructure for ML workloads using technologies like Kubernetes, Kubeflow, and Docker on platforms such as AWS and Azure
- Build and optimize robust deployment strategies for machine learning models, including containerization and serving using tools like KServe and custom APIs
- Establish comprehensive monitoring, logging, and alerting systems for model performance, data drift, and infrastructure health to ensure the reliability and stability of deployed models
- Implement and manage continuous integration and continuous delivery (CI/CD) pipelines (e.g., using GitLab and Pytest) for automated testing, deployment, and version control of ML code and models
- Advocate best practices for ML model and reducibility, versioning, and governance
- Collaborate closely with data scientists, ML researchers, and software engineers to translate research prototypes into production-ready solutions and provide technical guidance on MLOps best practices
- Identify and implement optimizations for ML workflows, infrastructure, and model inference to improve efficiency and reduce operational costs
Our take
To empower critical space missions, Turion Space builds and operates DROID Satellites that its clients can control through the company's operating system (known as Starfire).
The idea behind Turion's approach is to simplify satellite operations by making them non-configurable, instead handling day-to-day operations itself. In this way, the company helps its clients to eliminate friction between platform and bus suppliers, which can hinder the potential of missions.
To support the expansion of its operations, which include non-earth imaging, space debris removal and satellite servicing, the company has raised strategic funding. This positions it well to move towards its goal of producing 45 satellites annually by 2027.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Dec 2022
$5m
EARLY VC
Sep 2021
$6.2m
SEED
Total funding: $11.2m
Company HQ
Irvine Spectrum Center, Irvine, CA
Leadership
Ryan Westerdahl
(Co-Founder & CEO)Previously spent over 8 years at SpaceX, initially as a Propulsion Development Engineering Intern before becoming a Dynamics Engineer.
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