Senior Machine Learning Engineer

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.

As a Senior Machine Learning Engineer at Striveworks you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot our proprietary AIOps platform and you will inform and contribute to future capabilities of that platform. You will inform envision and help extend Striveworks’ core software products. You will work alongside data scientists software engineers and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions communicating clearly and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Working with customers engineers and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
• Developing machine learning models and custom analytics that are applied to image video text geospatial time series and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning specifying and at times designing and implementing core product functionality
• Opportunities to conduct mission-critical field work

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 25% of the time.  

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. 

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:

• BS degree in computer science machine learning or a related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems (e.g. data engineering data cleaning ETL pipelines machine learning and other production analytics)
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential as is knowledge of libraries like TensorFlow PyTorch and/or scikit-learn
• Proficiency in software engineering fundamentals to include algorithms data structures design patterns and at least one systems programming language (e.g. Go Rust C++ Java Scala etc.)
• Proficiency with modern software engineering tools and processes (Agile version control issue tracking CI/CD debugging etc.)
• 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

We’re very interested in candidates who possess the above qualifications and we appreciate and consider the addition of:

• Advanced degree in data science machine learning computer science or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g. asynchronous programming REST GraphQL React Vue Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g. Docker Kubernetes [k8s] infrastructure as code major cloud architectures)
• Experience with a variety of unstructured data types (e.g. imagery full motion video text acoustic sonar RF telemetry signals)
• Experience building agentic systems agentic workflows or AI agents
• Experience defining scoping planning and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Active Secret (or above) US security clearance 

The anticipated base pay range for this position is $160000–$200000/year. Striveworks’ total compensation package includes a competitive base salary equity grants and cash bonuses.

• 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 [email protected].

In compliance with federal law all persons hired will be required to verify 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.

What We Do

Striveworks helps organizations get the most out of their investment in artificial intelligence. Our proprietary technology allows organizations to rapidly build launch and maintain AI models—in hours not months. Users can deploy them in one click and keep them working even when the world changes around them. Striveworks delivers trustworthy AI-powered analysis by creating models that “learn” and stay ahead of their environment at machine speed. We make artificial intelligence work—today and in the future. In 2023 Striveworks placed on the Deloitte Technology Fast 500 as one of the most rapidly growing technology companies in North America. In 2025 Striveworks was honored with a Built In Best Places to Work award—for the fourth year running.

Why Work With Us

Our people and products shape solutions that directly affect the geopolitical landscape. We are cross-functional talent working together on the cutting edge to provide mission critical solutions.

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