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Senior Meta Machine Learning Jobs in Austin, TX (NOW HIRING)

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

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 ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

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 ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform.

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 ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Familiar with AI/ML, server, storage, network, machine learning systems About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

... influencing senior level stakeholders * Analytical problem-solving skills, experience being ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Experience with physical implementation of machine learning accelerators, network-on-chip architectures, or high-bandwidth memory interfaces About Meta: Meta builds technologies that help people ...

Showing results 41-60

Senior Meta Machine Learning information

See Austin, TX salary details

$24.8K

$79.6K

$162.1K

How much do senior meta machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior meta machine learning in Austin, TX is $79,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $102,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are the most commonly searched types of Meta Machine Learning jobs in Austin, TX?

The most popular types of Meta Machine Learning jobs in Austin, TX are:

What job categories do people searching Senior Meta Machine Learning jobs in Austin, TX look for?

The top searched job categories for Senior Meta Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Senior Meta Machine Learning jobs?

Cities near Austin, TX with the most Senior Meta Machine Learning job openings:

Senior Machine Learning Engineer II

Austin, TX โ€ข On-site

CesiumAstro
Guided Missile and Space Vehicle Manufacturingย โ€ขย 11 - 50 employees

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.