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

Open nowPosted 267 days ago

Senior Applied ML/AI Engineer

Legion Intelligence7 open roles

Pay
$220,000 – $265,000 a year
Where
USA
Get the CV for this job

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

Your applicationOpen nowSenior Applied ML/AI EngineerLegion Intelligence · USA

  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 Legion Intelligence'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.

13.6% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 267 days ago

The posting

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Senior Applied ML/AI Engineer (Remote USA)

***This role requires expert level in development and deployment of machine learning models***

***US Citizenship or Greencard (Permanent US Residency) is required due to US Government contract requirements***

***You must be domiciled in the U.S. (must live permanently and maintain home address in the US)***

***As a step in the application process you will be required to provide legally authorized Identification to show verification of eligibility through third party provider CLEAR ID***

About us:

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

We’re looking for a Senior Machine Learning Engineer to architect and build the intelligence layer behind our agentic AI platform, with a focus on search, navigation, and task-oriented user experiences. In this role, you’ll design and ship ML systems that enable intelligent retrieval, reasoning, planning, tool use, and adaptive navigation across the product. You’ll work across NLP, ML, knowledge representations, and production system design to create scalable, reliable, and high-impact AI experiences.

This role is ideal for someone who has deep experience building agentic systems, including reasoning loops, orchestration patterns, tool calling, memory/context management, and model fine-tuning, and who can apply that expertise to make search and navigation feel intelligent, proactive, and context-aware.

Job Summary:

Responsibilities

  • Lead the design and development of ML and NLP systems that power search, navigation, and agentic AI experiences.
  • Innovate around our core iterative reasoning, retrieval, and search systems with agentic AI
  • Develop, fine-tune, evaluate, and optimize machine learning and language models for production use.
  • Design and build complex systems involving knowledge graphs, semantic representations, and advanced entity detection/extraction.
  • Collaborate closely with product, platform, and engineering teams to own AI/ML solutions end-to-end, from design through deployment and iteration.
  • Make sound technical decisions by understanding algorithmic complexity, model performance, latency, and production cost tradeoffs.
  • Build, deliver, and maintain enterprise-grade products that meet high standards for quality, reliability, and speed.
  • Support production systems, including debugging and resolving issues in distributed systems to ensure uptime and reliability.
  • Clearly communicate technical decisions, tradeoffs, and limitations to both technical and non-technical stakeholders.
  • Stay current with the latest advances in AI, NLP, and machine learning, and apply them thoughtfully to improve our products and platform.

Required Skills and Qualifications

  • US Citizenship or Green Card required due to US Government contract requirements.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP, or a related field
  • 7+ years of experience in ML/MLOps engineering with a strong track record of building models and systems for large-scale production environments.
  • Proven experience designing, building, evaluating, and optimizing agentic AI systems, including reasoning loops, tool use / tool calling, context management, multi-agent or workflow-based systems
  • Strong systems thinking with an understanding of runtime complexity, infrastructure costs, and production scalability.
  • Strong communication skills and the ability to collaborate effectively across cross-functional teams.
  • Comfortable supporting production systems and debugging challenges in distributed environments.
  • Demonstrated ability to use AI tools to accelerate research and development workflows.
  • Growth mindset and low ego: eager to learn new tools and technologies, adapt quickly, and change course when needed.
  • Strong commitment to collaboration, psychological safety, and technical excellence.

Preferred Qualifications

  • Startup experience or comfort working in 0→1 product environments.
  • Experience integrating ML models and data-driven algorithms into larger system architectures.

*LI-REMOTE

Compensation Information

$220,000—$265,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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 Legion Intelligence'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 Legion Intelligence'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

    Legion Intelligence'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.