Recruiting From Scratch
Senior Machine Learning Engineer
Recruiting From Scratch, Washington, District of Columbia, us, 20022
Who is
Recruiting from Scratch :
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
We are looking for a Senior Machine Learning Engineer
Compensation: $175,000 - $270,000 salary, employee equity plan grant & world class benefits.As a Senior Machine Learning Engineer, you have expertise in modeling, statistics, and programming. You will work with our engineering and product teams to design, build, and produce proprietary machine learning models to solve different business challenges, including user targeting and segmentation, dynamic Ads content generation, entity embeddings and recommendation models.About the role:Work on a variety of Machine Learning projects in the Ads recommendation domain: user segmentation and targeting, user embeddings generation, Gen AI driven Ad content generation.Leverage the latest Generative AI techniques to dynamically create engaging Ad content and model features.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.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.Mentor other team members, facilitate within/across team workshops and lead the agile development.About you:
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 plus.3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a plus.2+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages.Concrete experience working with deep learning frameworks, either TensorFlow or Pytorch.Experience working on Generative AI initiatives.Strong understanding of software engineering best practices.Be motivated, self-driven in a fast-paced environment with a proven track record demonstrating impact across several teams and/or organizations.Ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner.We encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise.Ideas, opinions, and the ability to share them through respectful proposals, presentations, and team-wide discussions. An eagerness to work and learn in the open and share your learnings with your teammates.
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Recruiting from Scratch :
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
We are looking for a Senior Machine Learning Engineer
Compensation: $175,000 - $270,000 salary, employee equity plan grant & world class benefits.As a Senior Machine Learning Engineer, you have expertise in modeling, statistics, and programming. You will work with our engineering and product teams to design, build, and produce proprietary machine learning models to solve different business challenges, including user targeting and segmentation, dynamic Ads content generation, entity embeddings and recommendation models.About the role:Work on a variety of Machine Learning projects in the Ads recommendation domain: user segmentation and targeting, user embeddings generation, Gen AI driven Ad content generation.Leverage the latest Generative AI techniques to dynamically create engaging Ad content and model features.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.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.Mentor other team members, facilitate within/across team workshops and lead the agile development.About you:
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 plus.3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a plus.2+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages.Concrete experience working with deep learning frameworks, either TensorFlow or Pytorch.Experience working on Generative AI initiatives.Strong understanding of software engineering best practices.Be motivated, self-driven in a fast-paced environment with a proven track record demonstrating impact across several teams and/or organizations.Ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner.We encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise.Ideas, opinions, and the ability to share them through respectful proposals, presentations, and team-wide discussions. An eagerness to work and learn in the open and share your learnings with your teammates.
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