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Senior Machine Learning Engineer for Innovative Solutions
1 month ago
Recruiting from Scratch is a pioneering talent firm dedicated to connecting top product managers, software and hardware professionals with forward-thinking companies. Our team operates remotely and collaborates with teams across the United States to provide tailored hiring solutions.
This role offers a hybrid work arrangement in Seattle, WA.
Detailed Job DescriptionWe are seeking an experienced Senior/Staff Machine Learning Engineer to join our team. Compensation includes $235,000 - $300,000, employee equity plan grant & world class benefits.
As a seasoned Machine Learning Engineer, you will be working closely with our engineering and product teams to design, develop and deploy proprietary machine learning models that address various business challenges such as smart bidding, lookalike modeling, forecasting, etc.
Key Responsibilities- Collaborate effectively with product managers and engineers to identify business priorities, frame machine learning problems, and architect innovative solutions.
- Design, implement and productionize machine learning models, including data preparation, processing pipelines, machine learning orchestrations, and improvements of services performance and reliability.
- Maintain high-quality code base with comprehensive tests that cover functional and non-functional aspects, such as load testing, unit testing, integration testing, etc.
- Stay updated on emerging technologies and trends, research state-of-the-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments.
- Share knowledge by delivering technical talks, brown bags, and promoting best practices within the team.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience. A PhD in Machine Learning or Deep Learning is highly valued.
- At least 5 years of experience in developing production-grade machine learning systems, preferably with applied ML in Ads, and 3+ years in software engineering with expertise in Python, Golang, Java, or similar languages.
- Experience in Bayesian methods, Reinforcement learning, Deep learning architectures, and Recommendation systems, particularly in ML for Ads or ecommerce.
- You excel in fast-paced environments, bringing a proven track record of meaningful contributions across teams, while effectively communicating ideas and learnings through collaborative discussions and presentations.
- Familiarity with Kubernetes, Kubeflow, TFX, and Feature Store in a production environment is a significant advantage.
The estimated salary range for this position is $235,000 - $300,000.