Senior Machine Learning Engineer–Field Engagement
Striveworks10 hours ago
Washington, DC, USA or Seattle, WA, USASenior
Base Salary
$160k - $200k/yr
Responsibilities
- Develop deep hands-on expertise in Chariot Core, Forge, and the company’s vertical solutions.
- Run customer onboarding, demos, workshops, trials, and early deployments focused on achieving value quickly.
- Configure models, datasets, agents, and workflows and co-build production AI systems with customer engineering and ML teams.
- Build ETL pipelines, scripts, and custom integrations connecting customer data and processes to inference endpoints.
- Serve as the primary technical contact, troubleshoot issues, remove blockers, and own problems through resolution.
- Advise customers on architecture, implementation decisions, best practices, product capabilities, and roadmap directions.
- Partner with Product and Engineering on fast-turnaround platform improvements and new feature launches.
- Create reusable examples, guides, documentation, proof-of-concept templates, technical blogs, and papers.
Requirements
- A degree in computer science, engineering, or a similar technical field.
- At least 6 years of experience as an ML engineer, data scientist, forward-deployed engineer, or in a similar hands-on technical role.
- Strong fluency in AI and ML systems and the ability to work across software engineering, data science, ML engineering, and infrastructure teams.
- Strong software engineering skills, including production-quality Python and the ability to build integrations, prototypes, and tooling.
- Experience deploying AI models and agents at scale and with model or agent evaluation, observability, or guardrails.
- Strong customer communication skills and the ability to build trust with technical stakeholders.
- US citizenship and eligibility and willingness to obtain and maintain a Secret or higher US security clearance.
- Preferred qualifications include vLLM experience, familiarity with cloud infrastructure, Kubernetes, APIs, distributed systems, and modern data or ML platforms.
- Experience leading, managing, or mentoring small cross-functional engineering teams and an active Secret-or-higher clearance are preferred.
Benefits
- Hybrid/on-site work near a customer site in the Washington, DC, Seattle, WA, or Raleigh-Durham, NC, area.
- Travel of up to 25% is expected.
- Medical, dental, and vision insurance.
- Voluntary life, long-term disability, accident, and hospital indemnity insurance.
- HSA, FSA, and dependent care FSA plans.
- 401(k) plan, unlimited PTO, and paid parental leave.
- Equity grants and cash bonuses are included in the total compensation package.
Tech Stack
Categories
Forward Deployed
About Striveworks
Striveworks builds Chariot, an MLOps platform for enterprises and public-sector teams to manage data, develop models, and govern, deploy, and monitor ML at the edge, including disconnected and high-stakes environments. The company sells software and services for computer vision, geospatial, and other AI workflows. Founded in 2018 and headquartered in Austin, Texas, Striveworks is privately held.