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Applied AI/ML Engineer

2 weeks, 3 days ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
Apache Spark CI/CD Deep Learning Feature Engineering Generative AI Git LLM Machine Learning MLOps NLP Pandas Python PyTorch Scikit-learn SQL TensorFlow
Apply Now
Odd.

Odd.

ODD. Studios Ltd. is a company that specializes in creating a playful musical instrument in the form of a bouncy ball. Their innovative product allows users to make music fun by playing drums, synths, guitars, percussions, jamming over favorite artists...

Consumer Goods
1-10
View All Jobs 6

Description

  • 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 classification, ranking, prediction, NLP, and anomaly detection tasks.
  • Develop and integrate GenAI solutions such as LLM-based workflows, retrieval-augmented generation, and agents.
  • Translate business and user needs into ML problem statements, metrics, and experiments.
  • Implement data pipelines and feature engineering workflows for training and inference.
  • Evaluate model performance, bias, drift, and reliability, and 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.

Requirements

  • 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 such as PyTorch, TensorFlow, or scikit-learn.
  • Experience working with large language models, embeddings, and prompt-driven systems.
  • Familiarity with data processing tools and workflows such as Pandas, SQL, Spark, or similar.
  • Understanding of software engineering best practices, including version control, testing, and code reviews.
  • Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability.
  • Strong communication skills and comfort working in cross-functional teams.
  • Experience working in innovation, R&D, labs, or exploratory engineering teams (preferred).
  • Experience deploying models to cloud platforms and managing inference at scale (preferred).
  • Familiarity with MLOps practices such as model monitoring, CI/CD for ML, and experiment tracking (preferred).
  • Experience contributing to architectural discussions or technical strategy (preferred).
  • Must be authorized to work in the United States; certain roles may require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or security clearance.
  • Must be located in the DMV area (DC, Maryland, Virginia) and able to participate in in-office collaboration.

Benefits

  • Fully remote work.
  • Annual stipend.
  • Comprehensive benefits package.
  • Company match 401(k) plan.
  • Flexible PTO and paid holidays.
  • Competitive salary range of $150,000–$200,000.

Interested in this position?

Apply directly on the company website

Apply Now

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