Senior Machine Learning Jobs in Boston

We are seeking an outstanding engineering tech lead interested in building products that solve customer problems, ranging from back-end data processing and machine learning, to front end presentation and dashboarding. This is an opportunity to build enterprise software that solves the most time-consuming, manually intensive problem in data science: enriching, curating, and preparing data. Working with very strong colleagues, you will lead a team and help design and implement creative solutions to problems in microservice applications, data pipelining, distributed computing, large-scale computing, interactive-response-time processing, and system architecture.

Automate machine learning processes. Design and build machine learning models for accuracy and scalability. Integrate machine learning algorithms with other applications and services.

Take ownership of the Microbiome Analysis pipelines. Propose a series of analytical and experimental approaches to understand microbiomes functionally. Implement automated analysis of functional microbial communities, integrating existing genomic data assets. Serve as a thought and technical leader for microbiome analysis from R&D through the field. Bring high quality, state-of-the-art data science and computational biology techniques to laboratory teams working to understand microbial communities.

Klaviyo is looking for data scientists to analyze large data sets (we’re collecting billions of individual actions every month), build models and ship products that enable businesses to grow faster and communicate with their customers. Our background as a team is building these models for the Fortune 50 and we want to democratize and open up that technology to everyone. The ideal candidate has a background in data science, statistics and machine learning and has done work ranging from exploratory analysis to training and deploying models. We use a wide variety of data mining and machine learning algorithms. The right candidate will have both a solid fundamental understanding and deep practical experience with at least a few modeling and machine learning techniques.