AI Engineer - Machine Learning

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

We are looking for a AI Engineer - Machine Learning to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team that is committed to delivering best in class service to our customers.

We are seeking a Machine Learning (ML) applications generalist with experience across a range of ML/AI algorithms to join our initiative focused on decarbonizing datacenters. This role involves choosing optimal algorithms for various applications, constructing training and inference pipelines using ML tools, and collaborating on the development of new tools.

 Responsibilities:

• Create and uphold efficient, scalable, and distributed training systems—including data preprocessing, training orchestration, and model assessment—for training large-scale AI models.
• Enhance the efficiency of training procedures to improve performance and use of resources, while maintaining scalability and dependability.
• Collaborate with researchers to create training and evaluation pipelines for state-of-the-art algorithms.
• Develop and design benchmarks for evaluating ML models.
• Perform training and fine-tuning of foundation 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:

• 3+ years of experience programming (in multiple programming languages; C, C++, Python and etc.)
• 2 + years of experience with Machine Learning algorithms (such as: large language models, generative machine learning, Bayesian learning, reinforcement learning, active learning and etc.).
• 2+ years of experience with a proven ability to write and document code effectively.        
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
• Large systems software design and development experience
• Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems.
• Experience in programming and experience with problem diagnosis and resolution.
• Experience working in an Agile environment.
• Background in machine learning frameworks such as TensorFlow or PyTorch.
• Proven experience in working with a variety of ML/AI algorithms, with the ability to determine the best-fit models for different scenarios.
• Strong skills in building and deploying ML pipelines for training and inference.
• Familiarity with Microsoft’s ML tools or readiness to learn and adapt quickly,
• Experience working within large-scale cloud infrastructures or data centers is a plus.
  
• Team Player: Ability to work collaboratively across teams, fostering a supportive and productive team environment.
• Excellent Communication Skills: Clear and effective communication, including technical concepts, with both technical and non-technical stakeholders.
• Ambiguity Management: Skilled at navigating uncertainty, making decisions with limited information, and adapting solutions as requirements evolve.
• Agility and Adaptability: Able to pivot quickly based on new information or shifting project requirements, while maintaining high performance and focus

 Salary Range:

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $152,000 to $160,000 USD/annually. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered 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.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com

Blueprint wants you to bring your biggest and best ideas to help positively impact our culture, clients, and the community around us. We also believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:

• Medical, dental, and vision coverage
• 401k program
• Competitive PTO offerings
• Parental Leave
• Contribute to one of our Employee Affinity Groups
• Opportunities for professional growth and development

Blueprint Technologies is an equal opportunity employer where employment is based on merit, qualifications, and professional competence.

Location:  Hybrid - Puget Sound