Design, develop, and maintain real-time deep learning pipelines and production ML microservices on Kubernetes. Curate datasets, establish benchmarks, improve observability and monitoring, and scale ML workflows. Collaborate with product, backend, and systems teams, contribute to R&D for aerospace/defense use cases, and document operational best practices.
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State.
At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team.
We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is highly collaborative, working closely with product, backend, and systems engineering teams to design, integrate, and maintain robust ML applications that support CesiumAstro’s mission.
JOB DUTIES AND RESPONSIBILITIES
- Design, develop, and maintain deep learning pipelines for real-time data processing.
- Evaluate and curate relevant datasets; establish model benchmarks to measure performance.
- Improve observability and monitoring for deployed ML systems.
- Develop, deploy, and maintain microservices that deliver ML capabilities to production systems.
- Enhance tooling and orchestration for tuning, deployment, and scaling of ML pipelines.
- Collaborate in research and development initiatives, contributing to new ML capabilities for aerospace and defense applications.
- Document designs, workflows, and operational best practices to ensure maintainable and resilient ML systems.
JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS
- Bachelor’s or higher degree in Computer Science, Engineering, or related technical field.
- 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations).
- Proficiency in Python with demonstrated experience implementing ML algorithms in production environments.
- Experience designing and maintaining APIs for ML services.
- Hands-on experience deploying and managing ML workflows in Kubernetes environments.
- Strong communication skills with the ability to clearly articulate complex technical ideas.
- Ability to work effectively in a collaborative, Agile engineering team.
PREFERRED EXPERIENCE
- Knowledge of microservice architectures and distributed data systems.
- Familiarity with aerospace or defense applications of ML systems.
- Track record of contributing to early-stage or rapidly scaling teams.
CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans.
CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.
CesiumAstro El Segundo, California, USA Office
101 Continental Blvd, El Segundo, CA, United States, 90245
Similar Jobs
Information Technology • Robotics
The Machine Learning Engineer will develop and optimize models, manage datasets, enhance training pipelines, and collaborate across teams to innovate in autonomous vehicle technology.
Top Skills:
C++JaxNumpyPysparkPythonPyTorchScipySQLTensorFlow
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound sales calls and warm leads to assess customer insurance needs, recommend Property & Casualty coverage, and close policies. Receive paid licensing and remote training, work prescribed shifts, meet performance targets, and maintain a professional home workspace and required internet connectivity.
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design and implement high-performance Verilog/SystemVerilog RTL for HBM digital blocks. Define micro-architecture, optimize area/power/performance, address CDC/RDC and timing, apply low-power methodologies (CPF/UPF, clock gating), support synthesis/STA/SDC, collaborate with verification/DFT/physical design, and assist post-silicon debug and verification closure.
Top Skills:
CdcClock GatingCpfLevel ShiftersLinuxMulti-Domain PartitioningPerlPythonRdcSdc ConstraintsStatic Timing Analysis (Sta)SynthesisSystemverilogUpfVerilog
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
