Job description

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it. Striveworks was built to solve that problem. What you’ll build Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab. As a Senior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working directly with customers, data scientists, software engineers, and DevOps engineers, you’ll define requirements and orchestrate complex data engineering pipelines. You’ll also develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. Your work will inform the future of Chariot, our proprietary AI operations platform, and it extends to the field, with mission-critical deployments, direct customer contact, and insights that shape what we build next. What it’s like here We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice. What we’re looking for A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience Demonstrated experience delivering data-centric systems Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of 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 Proficiency with modern software engineering tools and processes Active Secret (or above) US security clearance and US citizenship The following isn’t required, but we’d love to see it: Advanced degree in data science, machine learning, computer science, or a related discipline Knowledge of relevant architectures and design patterns for client-server systems Experience implementing and deploying software into containerized or cloud environments Experience with a variety of unstructured data types Experience delivering technology solutions in secure government environments Experience building AI agents, agentic workflows, or agentic systems Experience defining, scoping, planning, and delivering complex, production-level technical solutions Experience leading, managing, or mentoring small, cross-functional engineering teams You will be hybrid out of our Austin, Texas, office. This role requires travel up to 25% of the time. Compensation The anticipated base pay range for this position is $185,000–$230,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. Benefits include: 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 Ready to build systems that work for a mission that matters? Let’s talk. 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 People 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.

Requirements

Must-haves

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks
Striveworks was built to solve that problem.
What you’ll build
What it’s like here
What we’re looking for
A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
Demonstrated experience delivering data-centric systems
Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of 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
Proficiency with modern software engineering tools and processes
Active Secret (or above) US security clearance and US citizenship
The following isn’t required, but we’d love to see it:
Advanced degree in data science, machine learning, computer science, or a related discipline
Knowledge of relevant architectures and design patterns for client-server systems
Experience implementing and deploying software into containerized or cloud environments
Experience with a variety of unstructured data types
Experience delivering technology solutions in secure government environments
Experience building AI agents, agentic workflows, or agentic systems
Experience defining, scoping, planning, and delivering complex, production-level technical solutions
Experience leading, managing, or mentoring small, cross-functional engineering teams
You will be hybrid out of our Austin, Texas, office. This role requires travel up to 25% of the time.
Voluntary life, long-term disability, accident, and hospital indemnity insurance
HSA and FSA (including dependent care FSA) plans
Ready to build systems that work for a mission that matters? Let’s talk.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimachine learningpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave