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Enterprise Data as a Service

Senior Machine Learning Engineer

$80k – $140k • No equity
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Bungee empowers enterprises to drive great business decisions.

Headquartered in Seattle and founded by Amazon veterans, Bungee enables enterprises to gain access to global data on-demand and drive critical business decisions across industries. We’re a small, fast-growing company with our service already in use by several Fortune 50 companies.

The Machine Learning Engineer will shape Bungee’s product offerings and making our existing core data collection and analytics products more efficient and scalable. You will be a key member of the team with own projects end to end and work directly with customers. You will have the opportunity to solve problems, think creatively and try new things. You will be part of the team which is responsible for building machine learning models that drive our platforms, products, marketing, and business analytics.

We are looking for people who are willing to propose new and better ways of how to achieve our goals and be able to show us why. Willing to sprint to action to solve a problem, even when conditions are not ideal. Can treat systems and architectures as a whole to decide what to improve. Always Interested in learning, and figuring out ways to make our products and teams better. Delivers early and often, doesn't get bogged down to get it perfect the first time. Wants to work cooperatively in a team that is welcoming and truly understands the value of data. Appreciates working in a phenomenal environment with high ethical standards and a culture of kindness.

At Bungee Tech, we believe in a workplace where you can be your best, where you and the company can grow together. We attract a highly diverse group of talented people who are both thinkers and doers. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us on that journey. Come join us!

Responsibilities

• Architect & develop production grade systems for knowledge extraction, entity matching, entity resolution, reinforcement learning, knowledge base extraction.
• Architect our distributed machine learning systems.
• Improve the accuracy of existing machine learning systems
• Participate in team discussions, presentations.

Requirements
• Masters or PhD in Computer Science or equivalent
• Experience in implementing deep learning methods and algorithms, in computer vision and/or NLP
• Experience optimizing machine learning benchmarks to competitive levels of accuracy
• 2+ years of industry experience
• Experience in writing algorithms for speed and scalability

Preferred Skills
• Experience with TensorFlow/Pytorch/Keras, AWS/GCP/Azure, Python
• Experience with learning in distributed systems, containerization, etc.
• Published research in NLP & CV areas

Meet your team

People you would work with in this role

Leandro G. Almeida

Avatar for Leandro G. Almeida
Via
Head of Data Science, experienced with building , organizing, and managing devOps focused data science teams/projects. 8+ years of image analysis.

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