AI Engineer - Machine Learning and Robotics

About Blueprint

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. We are unified by a shared passion for solving complex problems and use technology as a tool to bridge the gap between strategy and execution. Our teams are composed of individuals with unique perspectives and years of experience across multiple industries, making us bold, smart, agile, and fun.

Job Overview

We are seeking an AI Engineer specializing in Machine Learning and Robotics to join our team. This role involves advancing the development and improvement of our software foundation and tools essential for training state-of-the-art AI models. You will be responsible for creating robust, scalable, and efficient training infrastructures and frameworks that facilitate the entire machine learning process, from data handling to model deployment.

Key Responsibilities

Develop and maintain efficient, scalable, and distributed training systems, including data preprocessing, training orchestration, and model assessment for large-scale AI models.
Enhance training procedures to improve performance and resource utilization while maintaining scalability and reliability.
Collaborate with researchers to create training and evaluation pipelines for cutting-edge algorithms.
Develop benchmarks for evaluating machine learning models.
Perform training and fine-tuning of foundational models for robotic applications.
Monitor and analyze pipelines, identifying bottlenecks and proposing solutions to improve efficiency and performance.
Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.

Qualifications

Minimum of 2 years' experience with Linux and Python.
Minimum of 2 years' experience with Configuration Management.
2+ years of experience with machine learning packages and ROS/ROS2.
2+ years of experience with TensorFlow.
Proficiency in Python, C++, or similar languages and at least one deep learning library such as PyTorch, TensorFlow, or JAX.
Strong background in distributed computing, parallel processing techniques, and handling large-scale datasets.
Experience with cloud-based training environments (AWS, Google Cloud, Azure).
Experience in developing and maintaining software tooling and infrastructure for machine learning.
Deep understanding of software engineering principles, including algorithms, data structures, and system design.
Experience with continuous integration and automated testing frameworks.

Salary and Benefits

Salary range: $140,000 to $158,000 USD annually, based on qualifications and experience.
Comprehensive benefits package including medical, dental, and vision coverage, 401k program, competitive PTO offerings, parental leave, and opportunities for professional growth and development.

Location

This position is based in Redmond, WA, and offers a hybrid work environment.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. We consider qualified applicants without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.