Machine Learning Engineer
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155 applicants · 30,186 views
About the Role
Production Technologies is wiring up its next product line, and the Machine Learning Engineer we hire in Hampton, VA gets to choose half the tools. What anchors this Hampton job is ownership; the $78,000 - $113,000, the freelance hours, the 4-year ask all hang off that.
Key Responsibilities
- Trim Production Technologies's cloud bill by right-sizing the Computer Vision infrastructure in Hampton, VA
- Keep PyTorch schemas backward-compatible so Production Technologies never forces a breaking upgrade
- Maintain and improve CI/CD infrastructure across VA engineering teams
- Automate the manual dbt chores that quietly drain Hampton, VA engineering hours
- Ship the forward-thinking Computer Vision features that move Production Technologies's technology roadmap forward
- Break large technology initiatives into Stress Management increments Hampton can actually deliver
What You'll Bring
- A knack for Attention to Detail that colleagues quietly come to rely on
- Meticulous attention to detail across every deliverable
- Comfort being accountable for a quick-to-ship outcome in a freelance role
- Demonstrated knack for making the calmly-fast-moving feel manageable
Production Technologies is what happens when high-trust engineers in Hampton decide that good enough is the enemy of great NumPy. Slack threads here stay civil because we critique the Pandas work, not the human behind it.
Land here and your reward starts at $78,000 - $113,000, then climbs alongside the mentorship, flexible hours, and benefits we keep stacking on top.
This one is current, freshly dated, and very much hiring.
A quick application is all it takes to start your Machine Learning Engineer story with Production Technologies.
Skills
- RAG
- Computer Vision
- dbt
- Pandas
- Vertex AI
- PyTorch
- NumPy
- TensorFlow
- BigQuery
- Hadoop
- Stress Management
- Attention to Detail
- Customer Service
Benefits
- Pension plan
- Community service opportunities
- Equipment Allowance
- Work from anywhere policy
- Employee stock purchase plan (ESPP)
- Headspace or Calm subscription
- Donation Matching
- Charitable Giving
- Stock options
- Global emergency assistance
- Quarterly all-hands meetings
- Partner Discounts