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/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to participate with in-office collaboration.
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
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 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)
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
