Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 9 days ago

Senior Machine Learning Engineer–Field Engagement

Striveworks35 open roles

Pay
$160,000 – $200,000 a year
Where
Washington, DC; Seattle, WA; Raleigh-Durham, NC
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Machine Learning Engineer–Field EngagementStriveworks · Washington, DC; Seattle, WA; Raleigh-Durham, NC

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Striveworks's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 9 days ago

The posting

“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 Senior Machine Learning Engineer–Field Engagement at Striveworks, you’ll work directly with our customers during trials and early deployments of Chariot, our AI product suite spanning Chariot Core (our AIOps platform), Forge (our agentic harness), and vertical solutions. You’ll own the technical journey from first log in to real value—building the integrations, pipelines, and configurations that help customers solve meaningful problems with Chariot. You’ll carry that technical context from pilot through post-sale, helping ensure that successful evaluations turn into lasting adoption.

Between customer engagements, you’ll have the freedom to invest in high-value work shaped by what you’ve learned in the field: polishing rough edges in the product, contributing to platform improvements, building better onboarding and technical resources, and writing technical blogs and papers about new and exciting applications of our products or research with them.

Your day-to-day will include:

  • Becoming an expert in the Chariot product suite: Develop deep, hands-on fluency across Chariot Core, Forge, and our vertical solutions so that you can speak credibly to any part of the product and run a trial end to end.
  • Getting customers to value quickly: Run hands-on onboarding, demos, and workshops in the context of each customer’s actual use case. Identify the highest-value problem to solve and then proactively drive it to working status, configuring the relevant models, datasets, agents, and workflows so customers start with a working environment rather than an empty platform.
  • Co-building with customer engineering teams: Work alongside customer engineers and machine learning (ML) teams to design and build production AI systems and agents on Chariot, from initial prototype through rollout.
  • Building data pipelines and integrations: Develop ETL pipelines, scripts, and custom integrations to ingest customer data and connect their existing processes to our inference endpoints.
  • Owning the technical relationship: Serve as the customer’s primary technical point of contact throughout the evaluation and early deployment. Troubleshoot issues directly, remove technical blockers, and own problems through resolution.
  • Advising customers beyond the initial deployment: Help customers make sound architecture and implementation decisions, establish best practices, and understand relevant product capabilities and roadmap directions. Surface opportunities for deeper adoption and expansion for the Sales and BD teams to pursue.
  • Partnering with Product and Engineering: Build fast-turnaround, high-value platform improvements alongside engineering when a trial needs something the product doesn’t yet do, and support the launch of new features with the field perspective.
  • Scaling what you learn: Surface field feedback to the Product team, and build reusable assets such as example code, guides, documentation, and proof-of-concept templates.

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 degree in a technical field (computer science, engineering, or similar)
  • 6+ years of experience as an ML engineer, data scientist, forward-deployed engineer, or in a similar hands-on technical role, ideally with direct customer exposure
  • Strong technical fluency in AI and ML systems, with the ability to work effectively across software engineering, data science, ML engineering, and infrastructure teams
  • Strong software engineering skills, including the ability to write, read, and debug production-quality Python and build pragmatic integrations, prototypes, and tooling
  • Comfort with ambiguity: the ability to independently understand a problem, develop a plan, and execute without detailed step-by-step direction
  • Experience deploying AI models and agents at scale
  • Experience with AI model and 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 above) US security clearance

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

  • Experience with deploying large language models using vLLM
  • Familiarity with cloud infrastructure, Kubernetes, APIs, distributed systems, or modern data and ML platforms
  • Experience leading, managing, or mentoring small, cross-functional engineering teams
  • Active Secret (or above) US security clearance

This position offers a hybrid/on-site work environment near one of our customer sites in the Washington, DC, Seattle, WA, or Raleigh-Durham, NC, area. You will be expected to travel up to 25% of the time.

Compensation

The anticipated base pay range for this position is $160,000–$200,000/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

Ready to build systems that work for a mission that matters? Let’s talk.

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 [email protected].

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Striveworks's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Striveworks's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Striveworks's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.