Skip to content

Open nowPosted 19 days ago

Senior AI/ML Engineer

Workable (global search)108,016 open roles

Where
Suitland, MD, United States
Get the CV for this job

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

Your applicationOpen nowSenior AI/ML EngineerWorkable (global search) · Suitland, MD, United States
  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 Workable (global search)'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.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 19 days ago

Workable (global search) median: 7 days open

The posting

Ignite IT Hub is seeking a senior AI/ML Engineer to maintain and enhance the U.S. Census Bureau's LLM Autocoder, which assigns standardized codes to survey write-in responses. You will build and test model and software improvements for the American Community Survey (ACS), develop pilots for additional surveys and fields, and work with data scientists and MLOps engineers to integrate approved changes into production.

Responsibilities

• Develop and maintain Python components for text preprocessing, model invocation, prompt management, structured output validation, and coding workflows.

• Implement approved changes to prompts, model configuration, dictionaries, rules, and supporting code in small, version-controlled increments.

• Build pilots using LLMs, fuzzy matching, direct-match dictionaries, or hybrid approaches; adapt implementations to survey-specific taxonomies and requirements.

• Write unit, integration, regression, negative, and edge-case tests, and work with the evaluation team to compare candidate results with approved baselines.

• Reproduce production problems, isolate causes across code, data, prompts, and model behavior, and implement verified corrections.

• Partner with the MLOps Engineer on packaging, deployment, rollback, and post-release verification within Government-approved AWS environments.

• Participate in code reviews and SME working sessions; maintain technical documentation, user guidance, and reproducible examples for Government handoff.

Requirements

Required qualifications

• Bachelor's degree in computer science, engineering, data science, or a related field, or equivalent relevant professional experience.

• 8+ years in software or ML engineering, including 3+ years building NLP or ML applications and hands-on experience integrating LLMs into working systems.

• Strong Python development skills and experience with data processing, APIs, automated testing, Git, and maintainable software design.

• Experience with text classification, prompt design, structured model outputs, and measuring the effects of implementation changes on model performance.

• Experience deploying or supporting applications in AWS, troubleshooting production issues, and collaborating effectively with data scientists and operational teams.

Preferred qualifications

• Experience with fuzzy matching, dictionary-based coding, survey text, or industry and occupation classification.

• Experience with ML frameworks such as scikit-learn, PyTorch, or Hugging Face, and handling sensitive data in controlled federal environments.

Conditions of employment. Position contingent on contract award. Must be able to obtain and maintain applicable Census Special Sworn Status and Personal Identity Verification (PIV) credentials, follow confidentiality requirements, and support Census core business hours and coordinated critical processing runs.

Benefits

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance
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 Workable (global search)'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 Workable (global search)'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

    Workable (global search)'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.

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.