Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, train, and enhance computer vision and multimodal machine learning models that convert intricate inputs into precise, structured data.

• Fine-tune and assess multimodal models employing methods like LoRA and hyperparameter optimization to boost accuracy, speed, and cost-effectiveness.

• Create and sustain scalable data pipelines for production data utilized in model training, testing, and evaluation.

• Develop evaluation frameworks and performance metrics to compare models, assess accuracy, and inform deployment choices.

• Deploy and oversee machine learning models on scalable cloud infrastructure, utilizing automated scaling, monitoring, and controlled rollouts.

• Integrate machine learning models into real-time processing systems and enhance computer vision functionalities, including image preprocessing, barcode decoding, and optical character recognition.

• Collaborate with Engineering, Fulfillment Operations, and other cross-functional teams to pinpoint opportunities and refine lottery fulfillment workflows.

• Participate in code reviews, technical documentation, automated testing, mentorship, and broader data infrastructure initiatives.

⛳️ Requirements

• A Bachelor’s Degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent hands-on experience.

• A minimum of 3 years of experience in machine learning engineering.

• Demonstrated experience in developing, deploying, and maintaining machine learning models in production settings.

• Strong expertise in Python and software engineering best practices, including automated testing, data validation, and asynchronous programming.

• Practical experience with computer vision, multimodal or vision-language models, and machine learning frameworks such as PyTorch, Hugging Face Transformers, PEFT, or vLLM.

• Experience in model fine-tuning, prompt design, performance evaluation, and image processing tools such as OpenCV.

• Familiarity with cloud-based machine learning platforms, ideally Google Cloud.

• Knowledge of containerization, orchestration, and monitoring tools like Docker, Kubernetes, GitHub Actions, or Datadog.

• Strong technical ownership, problem-solving abilities, and communication skills, with the capacity to lead complex projects, articulate technical decisions, and collaborate across teams.

• Familiarity with Kotlin, Java, message-driven architectures, or Protocol Buffers is advantageous.

• Experience in the lottery, gaming, financial technology, or other regulated sectors is a plus.

• May be required to obtain a gaming license issued by the relevant state agency as a condition of employment.

🏝️ Benefits

• Bonus

• Equity

• Benefits as applicable

• Guidance through the gaming license application process if pertinent to the role