Senior Machine Learning Engineer

Summary

Join BuildOps, a well-funded, fast-growing technology startup, and become a Senior Machine Learning Engineer. You will implement and enhance AI/ML features in our industry-leading platform, focusing on building and deploying machine learning models using Python and integrating with cloud-based LLM APIs. Collaborate with data scientists and cross-functional teams to deliver impactful AI solutions, ensuring high-quality software through rigorous testing and deployment practices. Stay current on the latest AI technologies and trends. This role offers a chance to contribute to a groundbreaking software solution supporting commercial contractors and to work in a fast-paced, collaborative environment.

Requirements

• 2+ years of experience in developing AI solutions preferably with LLMs
• 5+ years of experience in Full Stack software development
• 5+ years of experience in Python
• 3+ years of experience in Javascript/Typescript, Node.js
• Familiar with MLOps/deployment best practices (Sagemaker experience is a plus)
• Familiarity with vector databases and text embeddings
• Proven ability to manage/deploy machine learning models
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learn
• Strong communication and technical writing skills
• Familiarity with unit testing, debugging, profiling and performance monitoring in AWS environment

Responsibilities

• Build and deploy machine learning models using Python (e.g., PyTorch) on platforms like AWS SageMaker
• Develop backend and client-side code to integrate with cloud-based LLM APIs (e.g., Bedrock, ChatGPT APIs)
• Manage monitoring (Wandb.ai, MLFlow, etc), deployment, and assist with hyperparameter tuning
• Implement your own ML endpoints in our various React/NodeJS applications
• Collaborate with data scientists and cross-functional teams to deliver impactful and practical AI solutions
• Work in tandem with the quality engineering team to ship high-availability software
• Build and maintain automated unit tests: unit, integration and UI
• Participate in PR reviews and ensure proper implementation of ML tooling across our stack
• Communicate effectively with engineers, product managers, customers, partners, and other leaders
• Stay up-to-date on the latest AI technologies and trends to help other areas of the company find leverage in new advancements

Preferred Qualifications

• Prior experience with Node.js, building features using REST and/or GraphQL APIs using Apollo preferred
• Prior knowledge or ability to quickly learn developing in a MLOps environment (MLflow or similar) preferred

Benefits

• Negotiable base salary + annual bonus
• Generous equity grant, become an owner in our company!
• A comprehensive benefits package
• Flexible PTO and hybrid work schedules
• Work from home stipend
• Hubs in Los Angeles, Toronto, and Raleigh with hybrid work schedules with lunch provided for in-office days
• Company events like BBQs and team-building activities, both in-person and virtual
• Fast-paced, collaborative, and dynamic work environment
• Opportunities for growth and career advancement
• Chance to work with cutting-edge technology and innovative solutions
• The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers