Senior Machine Learning Jobs in Boston

6

Senior Manager, Machine Learning

Indigo
Greater Boston Area
7 hours ago
+21
Lead teams of data scientists to solve complex agricultural problems by unifying high throughput laboratory data with mass field data with machine learning models to deliver on business scientific priorities. Perform end-to-end analysis from development of data specification requirements through data processing and normalization and statistical/probabilistic modeling to machine learning on an ongoing basis. Determine causal effects of Indigo’s microbial and agronomic treatments in real world conditions to further our understanding of where, why, and how our products work. Build machine learning models that predict business and scientifically relevant field outcomes and simultaneously increase our understanding of real-world agricultural data and the drivers of the outcomes we observe. Help to drive research and development by designing and developing visuals of data analyses and presenting these as compelling storyboards to non-technical audiences.

Senior Software Engineer, Data Science Platform

Microbiome Data Scientist

Senior Software Engineer, Machine Learning

CarGurus
Greater Boston Area
20 hours ago
+41
We're looking for a thoughtful, technical and deeply collaborative Senior Software Engineer, Machine Learning to work with our growing Analytics Engineering team! This position will provide foundational framework for the Data Science team. This includes building the infrastructure to allow the team to "publish" models into production, developing Python libraries to facilitate feature generation, and providing the data science team with product-based datasets to train their models.

Machine Learning Engineer, Explainable AI

DataRobot
Greater Boston Area
20 hours ago
As machine learning capabilities mature and automation increases, there will always be a need for humans to understand and explain the behavior of AI systems. The Machine Learning Engineer position on the Explainable AI team will be a key factor in realizing this vision by actively contributing to the development of our automated insights toolchain. We are looking for talented people with deep knowledge of Machine Learning / Statistics and strong engineering skills. Your responsibilities will include the automation of data science best practices, build tools to detect and address data and model issues, build models that deliver world class tradeoff between accuracy and explainability and develop state-of-the-art insights.

Director of Machine Learning

Linux Build Engineer, Code & Architecture

Senior Data Engineer

Senior Machine Learning Engineer, Geospatial

Load 1 more jobs5 jobs at DataRobot

Intelligent Systems Group Lead

Aurora Flight Sciences
Cambridge
1 week ago
+23
The Intelligent Systems Group Lead ensures the highest level of capability, consistency and quality in planning, estimation, and control engineering across Aurora.  The Group Lead is responsible for maturing the company’s technical capabilities and methods (processes, tools, organization, etc.) in their area, and responsible for leading individual contributors to envision, develop, test, modify, and deliver practical solutions to technical problems.

Engineering Tech Lead

Tamr
Greater Boston Area
1 week ago
+33
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.

Senior Data Scientist

Klaviyo
Greater Boston Area
1 week ago
+42
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.

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