Machine Learning Engineer

Zoom • Seattle, WA

8h • Hybrid

About The Position

Immigration sponsorship is not available for this position. Responsibilities: Design, implement, and optimize GenAI algorithms, techniques and solutions to address complex business challenges. Collaborate with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives. Participate in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions. Identify opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability. Stay up to date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.

Requirements

• Requires a Bachelor's degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent.
• Must have 3 years of experience in job offered or related occupation.
• Must have 3 years of experience in the following skills: Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems; Deep learning frameworks including PyTorch and TensorFlow; Presenting academic or personal AI projects; Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences; Agentic AI including LLM driven AI agents, agentic RAG; Building scalable, maintainable, and production-ready machine learning systems; and Analyzing data and troubleshooting issues related to deployed AI systems.
• In Lieu of a Bachelor's degree and 3 years of experience the company will accept the following: Must have Master’s degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent.
• Must have 1 years of experience in job offered or related occupation.
• Must have 1 years of experience in the following skills: Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems; Deep learning frameworks including PyTorch and TensorFlow; Presenting academic or personal AI projects; Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences; Agentic AI including LLM driven AI agents, agentic RAG; Building scalable, maintainable, and production-ready machine learning systems; and Analyzing data and troubleshooting issues related to deployed AI systems.

Responsibilities

• Design, implement, and optimize GenAI algorithms, techniques and solutions to address complex business challenges.
• Collaborate with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
• Participate in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
• Identify opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
• Stay up to date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.

Benefits

• As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level