Who is Recruiting from Scratch:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
This role is hybrid in Seattle, WA.
We are looking for a Staff Applied Scientist/Machine Learning Engineer
Compensation: $235,000 - $300,000, employee equity plan grant & world class benefits.
As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modeling, forecasting, etc.
Responsibilities
- Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
- Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability, etc.
- Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
- Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments.
- Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices.
Requirements
- Bachelor's degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a massive plus.
- 5+ years in developing production-grade machine learning systems, preferably with applied ML in Ads, and 3+ years in software engineering with skills in Python, Golang, Java, or similar languages.
- Experience in the following areas - Bayesian methods, Reinforcement learning, Deep learning Architectures and Recommendation systems and if you have experience in ML for Ads or ecommerce it is a big plus.
- You excel in a dynamic, fast-paced setting, bringing a proven track record of meaningful contributions across teams, while effectively communicating ideas and learnings through collaborative discussions and presentations.
- Experience with Kubernetes, Kubeflow, TFX and Feature Store in a production environment is a massive plus.
The salary range is $235,000 - $300,000
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