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.
Senior Machine Learning Engineer
Location
Indiana + 1 moreAll locations: Indiana, Texas
Posted
17 days ago
Salary
$160K - $200K / year
Job Description
Job Requirements
- 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, with up to 25% travel.
- 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.
- 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
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