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Striveworks

Machine Learning Engineer (Active Secret Clearance)

Striveworks · Austin, Texas, United States

Posted about 2 months ago · $140,000–$165,000

or apply directly on Striveworks's site. We never take the application ourselves.

Is this posting real?

This role has been open
51 days
Striveworks's roles stay open a median of 52 days
Reposted
No
Salary listed
Yes
96% of Striveworks's roles list one
Ghost-job risk at Striveworks
high
18 stale, 0 reposted of 23 open
Hiring momentum
26 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-24

Measured from postings appearing on and disappearing from Striveworks's own greenhouse board since 2026-08-03. Full hiring picture for Striveworks.

About this role

As a Machine Learning Engineer at Striveworks, you will develop machine learning models and analytics solutions for various data types, collaborating with data scientists and software engineers. Your role involves orchestrating data engineering pipelines and contributing to the company's AIOps platform, Chariot, while engaging directly with customers on mission-critical projects. You will work in a hybrid or on-site capacity in Austin, Texas, with some travel required.

Our read on this posting3.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Striveworks as an employer.

What you need

  • BS degree in computer science, machine learning, or a related discipline
  • 2+ years of relevant experience
  • Proficiency in Python and libraries like PyTorch, TensorFlow, and/or scikit-learn
  • Proficiency in software engineering fundamentals and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala)
  • Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
  • Exposure to modern software engineering tools and processes

Nice to have

  • An 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 via Docker, K8s, or similar
  • Experience applying machine learning to unstructured data (imagery, video, other) and/or building agentic systems

What you get

  • 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

Worth weighing

  • Role requires travel up to 30% of the time
  • No mention of remote work flexibility beyond hybrid or on-site
  • Active Secret clearance is mandatory, which may limit candidate pool

Summarised from Striveworks's posting. Read the full original.

Listed by Striveworks on their greenhouse job board, last confirmed open on 2026-09-24. PitchMeAI is not the employer.

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