Brooks
Apparel & Footwear
SeniorMachineLearningEngineer(Temporary)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer (Temporary) at Brooks. Skills: Machine Learning, GenAI, NLP, LLMs, MLOps, Python, TensorFlow, PyTorch, AWS, Azure, GCP. Design, build, and test machine learning models and algorithms. Conduct exploratory data analysis”
What You'll Achieve.
Build and scale data science and Machine Learning capabilities; Support every corner of our operations and the communities we serve; Deliver integrated solutions; Ensure smooth integration with existing systems; Maintain top performance and accuracy of machine learning systems
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
7+ years of experience in Machine Learning, Data Engineering, and Data Architecture, 2+ years of hands-on experience in GenAI, NLP and Agentic AI building production grade systems, proficiency in Python (preferred), Java, or R and SQL, Deep knowledge of frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, and LangChain, Hands-on experience with AWS (Bedrock, SageMaker), Azure (Databricks), or GCP (Vertex AI, BigQuery), Solid understanding of probability, statistics & ML algorithms, Excellent verbal and written communication skills, with the ability to break down technical topics for non-technical audiences, Ability to work cross-functionally with Platform teams on enterprise initiatives and engage regularly with other architecture, security, and infrastructure teams, Ability to multi-task and manage multiple priorities concurrently
Nice to Have
Extensive experience in retail and applied consumer product industries is highly valued, Actively works to learn new skills to stay current with changing technologies and industry trends
What You'll Do.
and test machine learning models and algorithms
Conduct exploratory data analysis
Drive end-to-end data science solutions
Lead AI strategy and implementation
Undertake feature engineering
Evaluate models for accuracy and performance
Deploy models for customers
Transition models to production through MLOps
Implement containerization and orchestration
Establish ongoing retraining
and optimization of machine learning systems
Leverage Infrastructure as Code (IaC) tools
How You'll Work.
Team & Collaboration
Work cross-functionally with Architects, Product Managers, Data Engineering, and Business Intelligence teams; Actively mentor and coach developers and junior designers across multiple teams; Work cross-functionally with Platform teams on enterprise initiatives; Engage regularly with other architecture, security, and infrastructure teams
Communication Scope
Excellent verbal and written communication skills; Ability to break down technical topics for non-technical audiences
Process & Methodology
Manage multiple priorities concurrently
Full Job Description
## Description Who We Are: At Brooks, we believe movement is the key to feeling more alive. That’s why we’re driven to create gear and experiences that take people to the place that makes them feel more alive — whether it’s a headspace, a feeling, or a finish line. Everyone who works at Brooks is propelled by a company culture that sparks excitement, fuels collaboration, inspires creativity, and ignites innovation. Our brand values help bond us together and drive our success: Runner First We act in the best interest of the runner Word is Bond We do what we say we’ll do Champion Heart We give our all in everything we do There is no “I” in Run We stay generous with our humanity Keep Moving We find ways to move every day, because joy is kinetic! We welcome everyone from every walk of life looking to inspire others through the power of movement - because we’re all moving towards something. Let’s run there. Your Job: Brooks is embarking on an exciting journey to harness our data assets across a wide range of job functions—including product innovation, marketing, supply chain, customer experience, and various corporate areas such as HR, Finance, IT, and Legal. Our goal is to build and scale the data science and Machine Learning capabilities to support every corner of our operations and the communities we serve. At Brooks, we collaborate and are super curious to explore the "art of the possible" with data and technology in service to our runners and the communities we serve. As a Senior Machine Learning (ML) Engineer, you will work closely with Data Engineers, Architects and Business stakeholders to undertake research and transition models into scalable production code. We’re looking for someone who embraces ML Engineering best practices, developing high-performance, reusable code and infrastructure. Note: This is an 8-month full-time temporary role. ## Your Responsibilities Model Development & Research Design, build, and test machine learning models and
Applying for this Senior Machine Learning Engineer (Temporary) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Brooks?
Real rants from real employees. Read before you apply.