Junior Machine Learning Engineer Austin, Texas, United States

Striveworks; Austin, Northern (TX, KY); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Voluntary life, long-term disability,

HSA and FSA (including dependent care)

401(k) plan

Unlimited PTO

Paid parental leave

Job summary

Striveworks in Austin, TX is seeking a Junior Machine Learning Engineer to join our cross-disciplinary team. You will work with data scientists, software engineers, and DevOps to build AI capabilities, analytics, and mission-critical solutions across diverse data types.

You will help orchestrate data pipelines in agentic and traditional architectures, contribute to Chariot, and influence deployments with direct customer contact.

Qualifications

• BS in computer science, machine learning, or a related discipline.
• Strong proficiency in Python with PyTorch, TensorFlow, or scikit-learn.
• Solid software engineering fundamentals and at least one systems language experience.
• Experience with developing and using ML models.
• Familiarity with modern software engineering tools and processes.
• US citizenship, eligibility for US security clearance (Secret or higher).

Responsibilities

• Develop AI capabilities and analytics for customer projects.
• Collaborate with data scientists, software engineers, and DevOps.
• Contribute to Striveworks' Chariot platform and AI deployments.
• Design data engineering pipelines in agentic and traditional architectures.

Skills

Python

PyTorch

TensorFlow

scikit-learn

Systems programming

ML models

Software fundamentals

Education

BS in CS/ml

Tools

Docker

Podman

Kubernetes

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 Junior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working alongside data scientists, software engineers, and DevOps engineers, you’ll develop AI capabilities, custom analytics, and mission‑critical solutions applied to image, video, text, geospatial, time series, structured, and other data. You will orchestrate complex data engineering pipelines in agentic and traditional architectures. Your work will inform the future of Chariot, our proprietary AI operations platform, and your impact will be felt across mission‑critical deployments and direct customer contact.

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 0–2 years of relevant experience


• Strong proficiency in Python including experience with libraries and frameworks like PyTorch, TensorFlow, and/or scikit-learn


• Strong software engineering fundamentals and experience with at least one systems programming language


• Exposure to the development and use of machine learning models, through either coursework or practical experience


• Familiarity with modern software engineering tools and processes


• US citizenship and eligibility and willingness to obtain and maintain a US security clearance (Secret or above)

The following isn’t required, but we’d love to see it:

• Demonstrated software development through personal, academic, or open source projects


• Advanced degree in computer science, data science, machine learning, or a related discipline


• Excellence in Python and deep knowledge of machine learning libraries


• Experience performing exploratory data analysis on structured and unstructured data


• Experience with agentic workflows, LLM evaluation, testing, observability, or guardrails


• Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or other modern AI application patterns


• Knowledge of relevant architectures and design patterns for client‑server systems


• Experience implementing and deploying software in containerized or cloud environments, using tools such as Docker, Podman, or Kubernetes (K8s)


• Experience working with asynchronous programming, concurrency, or event‑driven architectures


• Active Secret (or above) US security clearance

This position offers a hybrid/on‑site work environment at our office in Austin, TX. You will be expected to travel up to 25% of the time.

Compensation

The anticipated base pay range for this position is $100,000–$130,000/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

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 [e-mail] .

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Striveworks’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A \"disabled veteran\" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A \"recently separated veteran\" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An \"active duty wartime or campaign badge veteran\" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An \"Armed forces service medal veteran\" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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