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Applied AI/ML Engineer

Pay
$150,000–200,000/yearAnnual period assumed — pay source
At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level. United States Wage Range: $150,000 – $200,000
Read the full posting
Work setting
Hybrid — work setting source
Experience contributing to architectural discussions or technical strategy Location: Hybrid — DMV area required (DC, Maryland, Virginia). Candidates must be able to commute to the office Tuesday, Wednesday, and Thursday. Requirements:
Benefits: Hybrid Annual stipend
Read the full posting
Employment
Not stated

Before you apply

Work authorization
Must already have the right to work in the USApplicants must be authorized to work in the United States

What you’ll work on

Full posting
  • Design, develop, and deploy ML and AI-powered features into production

  • Develop and integrate GenAI solutions such as LLM workflows, RAG, and agents

  • Build and evaluate models for classification, ranking, prediction, NLP, or anomaly detection

  • Implement data pipelines and feature engineering for training and inference

  • Integrate models into APIs, services, and user-facing applications with software engineers

From the employer’s posting
Design, develop, and deploy machine learning and AI-powered features into production systems
Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
Implement data pipelines and feature engineering workflows to support model training and inference
Collaborate with software engineers to integrate models into APIs, services, and user-facing applications

Benefits in the posting

Full benefits wording
  • Hybrid
  • Annual stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays

From the employer’s posting.

Apply at Oddball

Posting record

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Status in our records
Live
First seen by us
Sep 19, 202649 days ago
Recorded sightings
30
Last seen by us
Nov 7, 2026
Reposted
once since Aug 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

In line with similar jobs

$150K–$200K against $166K–$240K, the middle half of what similar US postings state.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 49

Similar jobs usually come down between day 6 and day 71.

From 4,675 similar postings that came down. Coming down is not always a hire.

Oddball is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 50% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Spark
  • pandas
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- Experience building and deploying ML models in real-world applications - Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) - Experience working with large language models, embeddings, and prompt-driven systems
- Experience working with large language models, embeddings, and prompt-driven systems - Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar) - Understanding of software engineering best practices (version control, testing, code reviews)

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has Oddball posted this job before?

Yes. We’ve followed one other Applied AI/ML Engineer job there since August 2026. It came down after 20 days.

  1. District of ColumbiaCame down after 20 days, first seen Aug 15
  2. This jobUp 49 days so far, first seen Sep 19

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 868.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space. 

We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

What you'll be doing:

  • Design, develop, and deploy machine learning and AI-powered features into production systems
  • Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
  • Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
  • Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
  • Translate business and user needs into ML problem statements, metrics, and experiments
  • Implement data pipelines and feature engineering workflows to support model training and inference
  • Evaluate model performance, bias, drift, and reliability; iterate based on results
  • Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
  • Contribute to architecture decisions around model serving, scalability, and cost optimization
  • Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you’ll bring:

  • Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation
  • Experience building and deploying ML models in real-world applications
  • Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience working with large language models, embeddings, and prompt-driven systems
  • Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
  • Understanding of software engineering best practices (version control, testing, code reviews)
  • Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
  • Strong communication skills and comfort working in cross-functional teams
  • Performs other related duties as assigned

Bonus if you have:

  • Experience working in innovation, R&D, labs, or exploratory engineering teams
  • Experience deploying models to cloud platforms and managing inference at scale
  • Familiarity with MLOps practices such as model monitoring, CI/CD for ML, and experiment tracking
  • Experience contributing to architectural discussions or technical strategy

Location: Hybrid — DMV area required (DC, Maryland, Virginia). Candidates must be able to commute to the office Tuesday, Wednesday, and Thursday.

Requirements:

  • Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.

Benefits:

  • Hybrid
  • Annual stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.io 

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

At Oddball, we may use AI-assisted tools as part of our recruitment process to help review applications, verify applicant information, and identify potentially fraudulent submissions. These tools support our recruiting team in maintaining a fair and secure hiring process. AI-generated findings are reviewed by our recruiting team and are not used as the sole basis for hiring decisions.

Compensation:

At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $150,000 – $200,000

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level. United States Wage Range: $150,000 – $200,000
Location & working pattern

Washington DC area

- Experience contributing to architectural discussions or technical strategy Location: Hybrid — DMV area required (DC, Maryland, Virginia). Candidates must be able to commute to the office Tuesday, Wednesday, and Thursday. Requirements:
More source context
Benefits: - Hybrid - Annual stipend
Work authorization
Requirements: - Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance. Benefits:

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