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Senior Machine Learning Engineer, Features
CognitivUnited Statesfull_timeVerifiedPosted 19 Jan 2023
💰 $220,000/yr($160,000/yr – $220,000/yr)
About the role
Cognitiv leverages deep learning artificial intelligence to build custom algorithms that more accurately and efficiently predict consumer purchase behavior. Each marketer has a unique set of goals, which is why Cognitiv created NeuralMind, a deep learning platform capable of automatically building custom algorithms that simultaneously consider the user, the context, the message, and the campaign objectives. We combine deterministic data and advanced processing techniques to continuously train these algorithms as they optimize our clients’ key performance indicators (KPIs), predicting consumer behavior in order to autonomously drive full-funnel marketing performance at scale.
We are looking for a Senior Machine Learning Engineer to join our Features team. As a part of the team, you will build the next generation of features for our data science teams to use to include in their models to optimize our campaigns. This position will be located in Bellevue, WA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).
Cognitiv is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
We are looking for a Senior Machine Learning Engineer to join our Features team. As a part of the team, you will build the next generation of features for our data science teams to use to include in their models to optimize our campaigns. This position will be located in Bellevue, WA with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).
Core Responsibilities
- Design, prototype, and demonstrate value of new features for use in models.
- Build engineering systems/pipelines/etc to generate/update features in production with SLA.
Requirements
- 4+ years experience as a Machine Learning Engineer (or similar role).
- Expert proficiency in relevant programming languages (e.g. Python, Scala, Java).
- Expert proficiency in SQL.
- Expert experience with big data (terabyte-scale or larger)
- Experience with orchestration frameworks (e.g. Airflow).
- Experience within the Python Data Science ecosystem - NumPy, SciPy, scikit-learn, Jupyter, etc.
- Cloud experience (AWS, Azure, GCE).
Preferred Qualifications
- Experience with one or more Deep Learning frameworks (e.g. pytorch).
- Experience using machine learning to create embeddings from raw data.
- Experience maintaining always-on services.
Salary
- $160,000-$220,000 base + equity
Cognitiv is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
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