ZipRecruiter

Log In

1

Machine Learning Analyst Jobs in Austin, TX (NOW HIRING)

Striveworks

Staff Machine Learning Engineer

Austin, TX · On-site +1

Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. * Raising insights, opportunities, challenges, and ...

PayPal

Staff Machine Learning Engineer

Austin, TX

Machine Learning Engineer PayPal has been revolutionizing commerce globally for more than 25 years ... Oversee the preprocessing and analysis of large datasets. * Deploy and maintain ML solutions in ...

next page

Showing results 1-20

All JobsMachine Learning Analyst JobsMachine Learning Analyst Jobs in Austin, TX

Machine Learning Analyst information

See Austin, TX salary details

$30.2K

$71.4K

$126.8K

How much do machine learning analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning analyst in Austin, TX is $71,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $84,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Analyst position, and why are they important?

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a Machine Learning Analyst job?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

What are popular job titles related to Machine Learning Analyst jobs in Austin, TX? For Machine Learning Analyst jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Analyst jobs in Austin, TX look for? The top searched job categories for Machine Learning Analyst jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Analyst jobs? Cities near Austin, TX with the most Machine Learning Analyst job openings:
Machine Learning Analyst jobs near you
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Striveworks

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Build, Deploy, and Maintain AI for an Unpredictable World
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
With Striveworks, organizations aren't just deploying AI-they're building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they're deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs-and enabling confident, data-driven decision-making in dynamic environments.
The Role
As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company. In this mission-critical work, you will design AI-powered solutions, you will bring them into being-from data shaping and ingestion, through analytics, to end-user delivery-and you will inform future platform capabilities.
You're right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You are passionate about applying both software engineering and data science to solve real-world problems. You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer.
Your day-to-day will include:
  • Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers' problems and leverage the capabilities of our AI operations platform.
  • Translating requirements into a technical approach, design, scoping estimate, and execution plan.
  • Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
  • Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).
  • Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.
  • Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.
  • Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time.
The Right Fit
In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust.
Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.
Here's what we're looking for:
  • Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
  • Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.)
  • Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
  • Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments
  • Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
  • Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites
  • Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations
  • Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
  • Due to the nature of this role, candidates must have US citizenship
The Wish List
We're very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:
  • Experience with Kubernetes (k8s) and horizontally scaled architectures
  • Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
  • Experience building AI agents and workflows
  • Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry
  • Experience delivering technology solutions in secure government environments
  • Active Secret (or above) US security clearance

The anticipated base pay range for this position is $200,000-$250,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
The Benefits
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Check us out on Built In!
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.

Apply