Our Opportunity:
Chewy is looking for a Machine Learning Engineer III to join our Outbound Science Technology Team. In this role, you will combine an understanding of machine learning, optimization modeling, simulation, data analysis and software development. You will play a significant part in crafting, implementing, and deploying science models to address critical problems for our fulfillment Operations! The ideal candidate will operate as a full stack research scientist who should have expertise in both science models and cloud technologies, with expertise in deploying and scaling ML and optimization models in cloud environments. You will have the chance to create and develop backend ML/Optimization frameworks best suited for different business problems and build engineering pipelines to streamline model deployment. Does this sound like you? If so, we would love to hear from you!
What you'll do:
- Design, develop, and implement optimization and ML models for various applications, including but not limited to resource planning optimization, predictive analytics, time-series forecasting and natural language processing.
- Research and implement innovative science-based algorithms to address specific business challenges.
- Design and implement end-to-end machine learning workflows (including data preprocessing, model training, and deployment) using AWS cloud (such as Sagemaker).
- Collaborate with multi-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.
- Document code, algorithms and ensure reproducibility.
- Provide technical mentorship in standard methodologies for model development and deployment to the data science team.
- Effectively communicate technical concepts and insights to both technical and non-technical customers.
- Deploy science models by using pipeline established by engineers using provisioning, cloud resource management and containerization as necessary.
What you'll need:
- Candidate must possess a Graduate Degree (MS or PhD or equivalent experience) in Data Science, Machine Learning, Statistics, Operations Research, or related field.
- 5+ years of experience in developing and deploying production-level systems by using combinations of algorithms (optimization and/or simulation) and machine learning models in a production environment.
- Experience in the following areas: optimization, forecasting, machine learning and simulation. Understanding of deep learning techniques (Reinforcement Learning) is a plus.
- Proficiency and expertise in developing science models using Python, Java or similar languages, as well as expertise in SQL.
- Proficiency with version control systems (e.g., Git) and coding practices.
- Strong understanding of cloud platforms for ML pipeline such as AWS Sagemaker.
- Experience with containerization & orchestration tools (e.g. Docker, Kubernetes) and Infrastructure as Code tools (e.g., Terraform, CloudFormation) is a plus.
- Strong problem-solving skills and the ability to work independently and in a fast-paced environment.
- Excellent oral and written communication skills including collaboration with both technical and non-technical customers.
- Ability to travel up to 10% of the time
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
If you have a question regarding your application, please contact [email protected].
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What the Team is Saying
What We Do
We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.
Our culture is for those who thrive on delivering results and becoming your best—no matter your role or location. At Chewy, our Operating Principles serve as a common language, or framework, that connects two of Chewy's most valuable elements—our people and our culture. The Operating Principles guide our character, capabilities, imagination, and methods for execution in support of our company's mission.
Why Work With Us
We're proud to be one of the fastest growing e-commerce companies of all time.
With growth comes the exciting opportunity to be a part of a world-class organization of engineering, product, and design team members, responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.
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Employees engage in a combination of remote and on-site work.
