Do you want to build a model that changes customer experience? Do you actually want to see your ideas, your pipelines, your architecture, your experiment really affect the business? If so, Chewy Search & Recommendations team is hiring! We use the best machine learning techniques to simplify product discovery for animal lovers looking for their pet needs on Chewy.com. Our outstanding multi-disciplinary team of data scientists, data engineers, software/front-end engineers, and product managers work together to power personalized recommendations and search for pet parents. Our mission is to make Chewy a trusted partner who meets pet-parents' needs in an intuitively personalized and friction-free way. The team has single threaded ownership of the space allowing us to decide impactful products that we can experiment with, measure with metrics, and deliver and improve value to our customers. We are hiring a Machine Learning Engineer/Data Scientist in either Bellevue, WA, Boston, MA or remote. In this position, you will work on all stages of model development from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop. Your work will directly impact millions of customers who shop for their furry friends every day. This team focuses on learning, and on working together as a team to not only deploy model to production but also advance our modeling technique. What you'll do: <ul><li>You will partner peer MLE, Program Managers, Merchandizing, along with top engineers at Chewy.</li><li>You will be responsible for science projects from idea, to offline evaluation, to deployment, to experiment, to feedback, to model improvements for not only your science projects.</li><li>Formalizing assumptions about how models are encouraged to behave, crafting definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them.</li><li>Presenting verbally and in writing to business customers with different levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.</li><li>Work with a team of incredible people who are passionate about data science, machine learning, search & personalization.</li></ul> What You'll Need: <ul><li>An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.</li><li>Ability to understand and apply sophisticated mathematics and DS methodologies.</li><li>Experience in building distributed pipeline, tuning, optimizing and evaluation.</li><li>Experience with different techniques that include Predictive Models (Time Series and Regression), Linear, NLP/NLU, Search, Ranking and LLM & generative AI.</li><li>Ability to translate complex data sets and research into simple business recommendations.</li><li>Experience growing junior data science team members.</li></ul> Bonus: <ul><li>Experience in e-commerce or retail.</li><li>Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.</li></ul> Compensation & Benefits: Our salary range for a Principal Machine Learning Engineer position is $188,500.00 - $302,500.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k, an annual bonus potential, new hire and annual equity grant. We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Non-exempt hourly team members accrue paid time off (PTO) while salaried-exempt team members have unlimited PTO, subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 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 CAAR@chewy.com. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Our Opportunity: Chewy is looking for a Machine Learning Engineer III to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, advanced data analysis, statistical testing, and software development. As a Machine Learning Engineer III, you will play a crucial part in designing, implementing, and deploying machine learning models to solve complex problems for our Retail Operations business partners. The ideal candidate will operate as a full stack data scientist who should have expertise in both machine learning and cloud technologies, with a focus on deploying and scaling machine learning models in cloud environments. In this role, they will have the opportunity to design and develop backend ML frameworks best suited for different business problems and build engineering pipelines to streamline model deployment. What you'll do: <ul><li>Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision.</li><li>Research and implement state-of-the-art machine learning algorithms to address specific business challenges.</li><li>Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and performance.</li><li>Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning.</li><li>Implement and manage containerization solutions (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and scaling machine learning applications.</li><li>Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.</li><li>Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility.</li><li>Provide technical guidance in best practices for model development and deployment to the data science team.</li><li>Effectively communicate complex technical concepts and insights to both technical and non-technical stakeholders.</li></ul> What you'll need: <ul><li>Candidate must possess a Graduate Degree (MS/PhD) in Data Science, Machine Learning, Statistics, Mathematics, or related discipline.</li><li>7+ years of experience in developing and deploying advanced machine learning models and algorithms in a production environment.</li><li>Strong understanding of statistical analysis, machine learning, and deep learning techniques.</li><li>Expertise in programming languages such as Python.</li><li>Advanced proficiency with SQL</li><li>Strong understanding of cloud platforms such as AWS.</li><li>Proficiency in Infrastructure as Code tools (e.g., Terraform, CloudFormation).</li><li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li><li>Proficiency with version control systems (e.g., Git) and collaborative coding practices.</li><li>Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.</li><li>Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.</li><li>Ability to travel up to 10% of the time</li></ul> 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 CAAR@chewy.com. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Our Opportunity: Chewy is seeking Machine Learning Engineer III in Bellevue office. What You'll Do: <ul><li>Design and Develop Machine Learning Systems: Build and implement robust machine learning models. This includes data preprocessing, model building, and deployment of machine learning algorithms.</li><li>Analyze and Manipulate Data: Collect, clean, and manage data from diverse sources to ensure it is suitable for modeling</li><li>Experiment and Optimize Models: Continuously improve models by experimenting with different algorithms and tuning hyperparameters.</li><li>Deploy Models to Production: Collaborate with software engineering teams to integrate machine learning models into larger systems and ensure smooth deployment.</li><li>Monitor Model Performance: Oversee the ongoing performance of models and update them as necessary to maintain accuracy and efficiency.</li><li>Collaborate with Stakeholders: Work with business teams to understand company needs and devise feasible solutions using machine learning.</li><li>Research and Implement Latest Technologies: Stay updated with the latest developments in AI and machine learning technologies and advocate for the adoption of new tools and practices when appropriate.</li><li>Documentation and Reporting: Maintain detailed documentation of the modeling process and present results and insights to both technical and non-technical stakeholders.</li></ul> What You'll Need: <ul><li>Educational Background: Master's or PhD in Computer Science, AI, Machine Learning, or related field.</li><li>Technical Proficiency: Experience with machine learning frameworks (like TensorFlow or PyTorch) and programming languages (Python).</li><li>Data Management Skills: Strong capabilities in handling and analyzing big data with tools like SQL, and Pyspark.</li><li>Problem-Solving Skills: Ability to approach complex problems analytically and come up with practical solutions.</li><li>Communication Skills: Excellent verbal and written communication skills for effective collaboration and reporting.</li><li>Experience with Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud is often beneficial.</li><li>Statistical Analysis and Mathematical Skills: Deep understanding of statistics and the mathematical foundations behind machine learning algorithms.</li></ul> Bonus (if applicable): <ul><li>Develop and Train Large Language Models: Design, build, and fine-tune large language models that can be applied to a variety of tasks including text generation, semantic analysis, and more.</li><li>Implement Generative AI Solutions: Create models that can generate text, images, or other media to meet the needs of our clients and internal projects.</li><li>Build and Deploy AI Agents: Develop AI agents capable of performing autonomous actions within specified environments or frameworks.</li></ul> 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 CAAR@chewy.com. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Our Opportunity: We are looking for a Staff Machine Learning Engineer at our facility in Boston, Massachusetts to lead development and deployment of critical machine learning and deep learning models, which includes guiding data scientists, platform engineers in the delivery of the models. What You'll Do: <ul><li>Solve impactful, large-scale ML problems and take the solutions from planning to production.</li><li>Ideate and implement advanced ML solutions like domain-specific embeddings, custom featurization, and customized algorithms.</li><li>Build a great company-wide ML platform that enables other data scientists and ML engineers to train, validate, deploy, and monitor ML.</li><li>Mentor teammates in advanced ML and ML engineering practices.</li><li>Engage with engineering leadership across Chewy to define development and production processes for ML creation and deployment.</li><li>Recommend architectural patterns; e.g., consult on the architectural design of ML pipelines for collecting data for ML training and inference.</li><li>Collaborate with a distributed team, including pairing, code reviews, identifying opportunities for code refactoring, and defining best practices.</li><li>Telecommuting permitted.</li></ul> What You'll Need: <ul><li>Master's degree in Electrical Engineering, Data Science, Machine Learning, Economics, Statistics, Mathematics, or related field;</li><li>8 years of experience working in data science or applied machine learning;</li><li>Experience must include:</li><li>Coding and data analysis using Python, SQL, R, SAS, or Scala;</li><li>AWS and big data technologies;</li><li>Frameworks such as Pytorch, Tenserflow, or Keras;</li><li>Design and execution of analytical projects;</li><li>Machine learning techniques:</li><li>Regression, classification, clustering, neural networks/deep learning, and natural language processing (NLP); and</li><li>Translating ambiguous customer requirements into clear problem definitions and delivering them.</li><li>Telecommuting permitted.</li><li>The position is eligible for the Employee Referral Program.</li></ul> 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 CAAR@chewy.com. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Machine Learning Engineer Chewy Jobs

Principal Machine Learning Engineer
July 20, 2024

Machine Learning Engineer Iii
July 20, 2024

Machine Learning Engineer Iii
July 19, 2024

Staff Machine Learning Engineer
July 19, 2024

Machine Learning Engineer Iii
July 16, 2024

Machine Learning Engineer Iii
July 5, 2024

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Machine Learning Engineer Chewy Jobs

Principal Machine Learning EngineerJuly 20, 2024

Machine Learning Engineer IiiJuly 20, 2024

Machine Learning Engineer IiiJuly 19, 2024

Staff Machine Learning EngineerJuly 19, 2024

Machine Learning Engineer IiiJuly 16, 2024

Machine Learning Engineer IiiJuly 5, 2024