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.
- 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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