Brooks Sports, Inc - Senior Machine Learning Engineer (Temporary)

AI Engineer is needed in Seattle, United States.

Client: Brooks Sports, Inc

Location: Seattle, WA

Contract: Temporary

Job Description

At Brooks, we believe movement is the key to feeling more alive. We aim to create gear and experiences that elevate the human spirit. Our company culture fosters excitement, collaboration, creativity, and innovation. We are focused on harnessing our data assets for various job functions including product innovation, marketing, and more, aiming to build and scale data science and Machine Learning capabilities. As a Senior Machine Learning (ML) Engineer, you will collaborate with different teams to transition models into scalable production code and embrace ML Engineering best practices.

Note: This is an 8-month full-time temporary role.

Responsibilities

Model Development & Research:

• Design, build, and test machine learning models and algorithms using established architectures like Transformers and Deep Learning.
• Conduct exploratory data analysis and drive end-to-end data science solutions.
• Lead AI strategy and implementation for Generative AI and RAG solutions.
• Perform feature engineering and evaluate models’ accuracy and performance.

MLOps:

• Deploy models for customers and transition them to production through MLOps.
• Implement containerization and orchestration using Docker and Kubernetes.
• Establish ongoing model retraining, monitoring, and optimization.
• Use Infrastructure as Code (IaC) tools like Terraform for managing AI/ML infrastructure.

Collaboration & Leadership:

• Work cross-functionally with various teams to deliver integrated solutions.
• Mentor and coach developers and junior designers.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field.
• 7+ years of experience in Machine Learning, Data Engineering, and Data Architecture.
• 2+ years of hands-on experience in GenAI, NLP, and building production grade systems.
• Experience in retail and consumer product industries is highly valued.
• Proficient in Python (preferred), Java, R, and SQL.
• Knowledge of frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras.
• Experience with AWS, Azure, or GCP.
• Strong understanding of probability, statistics, and ML algorithms.
• Excellent communication skills for technical topics.
• Willingness to learn new skills and technologies.
• Ability to multi-task and manage multiple priorities.
• Embodies and lives Brooks values.

Compensation

The pay range for this position, based out of the Brooks Seattle HQ, is $69.76 - $111.61/hour, depending on job-related knowledge, skills, and experience.

Other

Brooks offers a robust benefits package to temporary employees, including medical, dental, and vision insurance, family assistance, 401K, paid time off, product discounts, and more. Location: You will spend 4 days per week in our Seattle offices.

At Brooks, we celebrate diversity and are committed to creating an inclusive environment. We encourage individuals from all backgrounds to apply and are proud to be an equal opportunity employer.