Senior Machine Learning Engineer @ Apollo.io

As a Senior Machine Learning Engineer on the Intelligence team, you will be responsible for building and productionizing Machine Learning (ML) models and other smart algorithms for various Apollo products. These products may include Search, Recommendations, Content Generation, Conversations or similar. The mission of the Intelligence team is to leverage Apollo’s massive scale data to understand and predict Apollo users’ behaviors and optimize their experience at all stages of their product journey.

This is how we organize our work

This is how we work

• you focus on product development
• agile
• kanban

What we offer

OUR TECH STACK

What You’ll Love About Apollo

Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees’ careers. The team embraces that we have a sole purpose : to help customers maximize their full revenue potential on the Apollo platform. This mindset opens us up to a lot of creative approaches to making customers successful at scale. You’ll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator. We’re very collaborative at Apollo, so you’ll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals. You’ll be supported and encouraged to experiment and take educated risks that lead to big wins. And, you’ll have a whole team remotely by your side to help you do it!

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As a Senior Machine Learning Engineer on the Intelligence team, you will be responsible for building and productionizing Machine Learning (ML) models and other smart algorithms for various Apollo products. These products may include Search, Recommendations, Content Generation, Conversations or similar. The mission of the Intelligence team is to leverage Apollo’s massive scale data to understand and predict Apollo users’ behaviors and optimize their experience at all stages of their product journey.

This is how we organize our work

This is how we work

What we offer

OUR TECH STACK

What You’ll Love About Apollo

Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees’ careers. The team embraces that we have a sole purpose : to help customers maximize their full revenue potential on the Apollo platform. This mindset opens us up to a lot of creative approaches to making customers successful at scale. You’ll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator. We’re very collaborative at Apollo, so you’ll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals. You’ll be supported and encouraged to experiment and take educated risks that lead to big wins. And, you’ll have a whole team remotely by your side to help you do it!

Design, build, evaluate, deploy and iterate on scalable Machine Learning systems, Understand the Machine Learning stack at Apollo and continuously improve it, Build systems that help Apollo personalize their users’ experience, Evaluate the performance of machine learning systems against business objectives, Develop and maintain scalable data pipelines that power our algorithms, Implement automated monitoring, alerting, self-healing (restartable / graceful failures) features while productionizing data & ML workflows, Write unit / integration tests and contribute to engineering wiki, Competencies : , Documentation first approach; loves to scale up by writing things down to share knowledge asynchronously, Excellent communication skills; be able to work with stakeholders to develop and define key business questions and build data sets that answer those questions., Excellent ambiguity resolution skills; be able to break down ambiguous problems into simpler milestones and delegate to junior engineers, Self-motivated and self-directed, Inquisitive, able to ask questions and dig deeper, Organized, diligent, and great attention to detail, Acts with the utmost integrity, Genuinely curious and open; loves learning, Critical thinking and proven problem-solving skills required] Requirements : Python, scikit-learn, TensorFlow, Keras, PyTorch, Machine learning, Databricks, Google Cloud Platform, Snowflake, MLflow, Airflow, Natural language processing, Deep learning Additionally : Training budget, Private healthcare, Flat structure, Small teams, International projects.