Senior Machine Learning Engineer II

Posted 2 Days Ago
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Austin, TX, USA
In-Office
Senior level
Aerospace • Hardware • Software • Defense
CesiumAstro creates out-of-the-box communication systems for space and airborne platforms.
The Role
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.
Summary Generated by Built In
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.

Skills Required

  • U.S. citizen, lawful permanent resident, conditional resident, asylee/refugee, or eligible to obtain required U.S. Department of State authorizations
  • Bachelor's or higher degree in Computer Science, Engineering, or related technical field
  • 6+ years professional experience developing production-ready ML systems
  • Proficiency in Python with experience implementing ML algorithms in production
  • Experience designing and maintaining APIs for ML services
  • Hands-on experience deploying and managing ML workflows in Kubernetes environments
  • Strong communication skills and ability to articulate complex technical ideas
  • Ability to work effectively in a collaborative, Agile engineering team

CesiumAstro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CesiumAstro and has not been reviewed or approved by CesiumAstro.

  • Healthcare Strength Health coverage includes medical, dental, vision, life and disability insurance, plus FSAs and mental health benefits. Feedback suggests the health package is comprehensive for a growth-stage aerospace firm.
  • Retirement Support Offerings include a 401(k) with company matching and other retirement-plan elements. Feedback suggests core retirement mechanisms are in place alongside standard financial benefits.
  • Leave & Time Off Breadth Generous PTO, paid holidays, paid sick days, and bereavement leave are included. Feedback suggests time-off options are broad on paper across multiple leave types.

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The Company
HQ: Austin, TX
400 Employees
Year Founded: 2017

What We Do

We build high-throughput, plug-and-play phased array communication payloads for space and airborne platforms. CesiumAstro’s full-stack, multi-mission hardware and software products enable a diverse range of commercial and defense objectives. Full-system engineering design is at the heart of every CesiumAstro product. We deliver high-performance solutions under rapid development timelines.

Why Work With Us

At CesiumAstro, we’re a team. We’re passionate, respectful, and determined colleagues ready to help at a moment’s notice. We’re mentors excited to enable our peers with the knowledge they need to succeed. Together, we’re visionaries committing to building memories that will last a lifetime.

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