Applied AIML Engineer

Oddball

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profile Job Location:

Washington DC, WA - USA

profile Monthly Salary: $ 150000 - 200000
Posted on: 22 hours ago
Vacancies: 1 Vacancy

Job Summary

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.

Were 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. Youll 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 youll 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 youll 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/Remote. Candidates must be located in the DMV area (DC Maryland Virginia) and able to participate in occasional in-office collaboration.

Requirements:

  • Applicants must be authorized to work in the United 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:

  • Fully remote
  • 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

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 contractors legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball its important each employee is compensated competitively and 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: $150000 $200000


Required Experience:

IC

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...
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About Company

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Oddball is a digital agency supporting federal clients using scalable software solutions that are purpose-built for the citizens they serve and the workforces they enable.

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