JOB DESCRIPTION
Our Opportunity :
Do you want to build a model that impacts the company's bottom line? Do you want to see how your ideas, pipelines, architecture, and experiments affect top-level decision-makers?
If so, the Chewy Marketing & Science team is hiring! We use the best machine learning techniques to simplify product discovery for pet parents looking for their pet needs on Chewy.
com. The team uses machine learning, statistics, and business econometrics techniques to understand and serve the needs of our pet parents.
As part of the Marketing Science teams, you will have ample opportunities to solve numerous business problems for marketing and existing Chewy customers.
Our team has single-threaded ownership to make data science products powered by econometric models, causal inference, forecasting, and non-linear optimization.
We are hiring a Machine Learning Engineer III in Bellevue, WA, Boston, MA, or Plantation, FL. In this position, you will work on all stages of model development, from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop.
This team's MLEs and data scientists focus on learning and working together to deploy the model to production and advance our modeling technique.
Join our high-achieving team!
What You’ll Do :
- You will partner with peer MLEs, Program Managers, Marketers, Finance, and top engineers at Chewy.
- 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.
- Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to identify them systematically, and explaining why they are reasonable or identifying fixes.
- Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, and sharing insights and recommendations.
- Work with a team of incredible people passionate about data science, machine learning, search & personalization.
What You’ll Need :
Candidate must possess a Graduate Degree (M.S. / PhD or similar) in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, Physics, or a related discipline.
Candidates with a bachelor's degree will also be considered if they possess adequate experience (see next bullet).
- Experience : Bachelor's degree with 5+ years, Master's degree with 4+ years, or Doctorate with 3+ years) in developing and deploying advanced machine learning models and algorithms in a production environment.
- Ability to understand and apply advanced mathematics and DS methodologies.
- Experience in building distributed pipelines, tuning, optimizing, and evaluating.
- Experience in ML Ops best practices and demonstrated use of Software Engineering best practices.
- Experience with techniques including Predictive Models (Time Series, Regression, etc.).
- Ability to translate complex data sets and research into simple business recommendations.
Bonus (if applicable) :
- Experience with causal inference. If not, we'll teach you.
- Experience with at least one cloud services provider(AWS, GCP, Azure, etc.).
- Experience with a back-end framework (Flask, Fast API, Django, Spring, etc.).
- Experience with ML / DE framework, e.g., Databricks.
Senior Staff Machine Learning Engineer Applied Science
Key Responsibilities:Lead cutting-edge research in machine learning and collaborate with other engineering teamsCollect, analyze, and synthesize findings from data to build intelligent data-driven modelsUse machine learning, natural language processing, and graph analysis to solve modeling and ranki...
Machine Learning Engineer
Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems. Contribute to the continuous improvement of our machine learni...
Machine Learning Engineer Payment Intelligence
A company is looking for a Machine Learning Engineer in Payment Intelligence. ...
Machine Learning Engineer III
Machine Learning Engineer III . Do you want to build a model that impacts the company's bottom line? Do you want to see how your ideas, pipelines, architecture, and experiments affect top-level decision-makers? If so, the Chewy Marketing & Science team is hiring! We use the best machine learning tec...
Machine Learning Engineer Ads Measurement
Key Responsibilities:Design and develop machine learning models for conversions and identity matchingEnhance ad measurement capabilities by understanding advertiser needsCollaborate with backend software engineers, conduct experiments, and maintain distributed systemsRequired Qualifications:2+ years...
Simulation and Machine Learning Engineer
Experience with building machine learning models at scale. ...
Senior Machine Learning Engineer - Customer Order Management (Remote)
Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizati...
Machine Learning Engineer 100%
In this role you will develop and validate machine learning models, research relevant statistical methods, perform data analysis, and provide recommendations for operationalizing machine learning models into production. Real world experience as an ML engineer or data scientist role building and depl...
Machine Learning Operations (MLOps) Engineer
This role will partner closely with other data science and ML teams, digital and product teams, data analytics teams, engineering, and business functions across the organization to drive the development and implementation of innovative Gen AI models and systems. Prompt Engineering and Management:. D...
Staff Software Engineer - Machine Learning (MLOps)
The Data Science and Machine Learning guild is thriving to enable us to deploy Machine Learning algorithms with data from many different sources including our own platform, and user behavioral data, we learn our users’ journey and build a personalized experience that is unique to each user. Help est...