Machine Learning Jobs in NYC

17

Machine Learning Engineer

Foursquare
Greater NYC Area
12 hours ago
About Foursquare: Since our inception in 2009, Foursquare has been a leading force in changing how location information enriches our real-world and digital lives. As a location intelligence company, Foursquare is comprised of two well-known consumer apps, Foursquare and Swarm, as well as thriving media and enterprise products. Our B2B offerings include Places (for developers), Pinpoint and Attribution (for marketers), and Place Insights

Staff Research Scientist

Data Scientist

2U
Greater NYC Area
18 hours ago
+19
Machine learning and model building for projects involving various teams across the company, including sales, marketing, human resources, finance, and operations. Predictive modeling and segmentation to support prospect scoring and consumer targeting. Data exploration to identify drivers & trends within our business. Ad hoc analysis and reporting as needed.

Machine Learning Engineer

White Ops
Greater NYC Area
19 hours ago
+23
Develop machine learning models and improve existing ones to enhance our detection capabilities. Work with different teams across White Ops to productize your solutions. Own the entire lifecycle: Research. Design. Experiment. Build. Deploy. Monitor. Maintain. Read research papers and apply state-of-the-art techniques in our problem set.

Senior Data Scientist

WW (formerly Weight Watchers)
Greater NYC Area
17 hours ago
+22
Partner with stakeholders across the organization to identify high-impact opportunities to leverage our extensive data to better serve our users. Develop predictive and other machine-learned models to enhance and optimize user engagement and experience. Perform exploratory and targeted analyses to understand the data, the problem, and to generate insights, such as novel features, that can be fed into our models. Work with the rest of the team, and with our consumers and partners in dev and product, to implement and ship production-level code. Explore and assess utility and potential of additional data sources, APIs, and methods (spanning area such as statistics, deep learning, and natural language processing). Motivate and mentor other data scientists to grow their skills and careers.

Machine Learning Engineer

Vimeo
Greater NYC Area
1 day ago
+30
Video Understanding: Use Deep Learning and Recurrent Neural Networks to identify people, things, and styles within our 300M+ Videos. Text Understanding: Use NLP and Entity Extraction to extract key features from Video descriptions, tags, profiles and album descriptions for use in search. Visual Search: Create feature embeddings that allow users to search for similar stock videos with images and videos (in addition to text search). Recommendations: Make it easy for users to connect to the best content, creators, and audience. Personalization: Optimize a user's experience based on what we know about their preferences and history Ranking: Prioritize most important search results, notifications, and news feed items that we should show a given user.

Senior Data Engineer

Gemini
Greater NYC Area
3 days ago
As a member of our data engineering team, you’ll shape the way we approach data at Gemini by using your engineering, analytical and communication skills to work with teams across the business. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll mentor data engineers and analysts and guide our internal teams to use data to improve the product and achieve KPIs. Communicating your insights with leaders across the organization is paramount to success.

Advanced Analytics Supervisor

Crossix
Greater NYC Area
1 week ago
What You'll Do The Supervisor, Advanced Analytics will join a fast-paced team focused on innovative, predictive, prescriptive, and custom analytics within a fast growing, dynamic company driving innovation in analytics and data-driven decision making for the healthcare industry. The Supervisor will have the opportunity to do exciting work at the intersection of healthcare and technology, performing analyses to help our customers drive better

Engineering Team Lead- Machine Learning

Squarespace
Greater NYC Area
1 week ago
+21
Design and implement machine learning solutions for Squarespace involving recommendation systems, representation learning, natural language processing, and computer vision. Work on innovating, expanding, and growing our machine learning platforms and services to large datasets and new applications for Squarespace’s products. Lead other engineers and collaborate with designers to deliver strong customer-focused experiences. Pick up new languages and technologies as needed. Our technology stack includes Python3, Scikit-Learn, Tensorflow, Keras, Spark, Docker, Hadoop, and Kubernetes, among others. Collaborate and communicate with various teams across the organization both technical and non-technical to help evangelize machine learning. Commitment to continuous improvement, evaluation, and automation of tasks to maintain a high standard of quality. Translate complex product and user problems/needs into elegant software solutions.

Senior Machine Learning Engineer - Recommendation…

WeWork Technology
Greater NYC Area
1 week ago
+26
As a Machine Learning Software Engineer, you'll help build a recommendation system that will help our community members discover solutions for their daily needs. You will use state-of-the-art AI & machine learning algorithms and take a large variety of data from a number of sources and intelligently deliver solutions for our member community. You’ll be working closely with the Engineering Director and the engineering team to define and execute on projects. Our technology stack is primarily Ruby/Rails, Node.js, React, Angular, Postgres but we are not dogmatic about it. #featured18

Senior Data Analyst

JW Player
Greater NYC Area
1 week ago
+19
As a Senior Data Analyst on the JW Player Data Science team, you will work closely with product managers, engineers, and data scientists to develop insights that inform product decision and strategy. Your findings will impact the next generation of JW Player products, from our flagship video player and video platform to our video recommendations service and other data products. You’ll play a critical role in improving these products and guiding our future development efforts.

Senior Site Reliability Engineer (SRE) - Big Data…

Grubhub
Greater NYC Area
1 week ago
+24
Senior Site Reliability Engineers are embedded in Big Data specific Dev teams to focus on the operational aspects of our services, and our SREs run their respective products and services from conception to continuous operation.  We're looking for engineers who want to be a part of developing infrastructure software, maintaining it and scaling. If you enjoy focusing on reliability, performance, capacity planning, and the automation everything, you’d probably like this position.

Program Analyst

Rocketrip
Greater NYC Area
2 weeks ago
The Role: We're looking for a Program Analyst to join our Technical Services team. As a Program Analyst, you will dive deep into client travel data and become a budget expert. Your main responsibilities will involve heavy data analysis, developing behavioral insights, identifying KPI's, and communicating our program's effectiveness to internal and external stakeholders. Our Program Analysts work collaboratively with Rocketrippers across

Senior Software Engineer (Data) @ Seva

Techstars NYC
Greater NYC Area
2 weeks ago
ABOUT THE COMPANY: Seva is an early-stage VC backed startup reimagining how employees discover and organize great information at work. Based in downtown Manhattan, we are looking for a Senior Data Engineer to join our small - but growing - team. As a data engineer your work will directly impact the development and delivery of our search intelligence and recommendations platform. YOUR RESPONSIBILITIES: - Build ETL processes from 3rd party API

Data Engineer

Namely
Greater NYC Area
2 weeks ago
+24
Build our next generation data pipelines for our data warehouse. Build real-time data pipelines on our event stream platform. Translate user requirements for reporting and analysis into actionable deliverables. Enhance automation, operation, and expansion of real-time and batch data environment. Extract, transform, and load complex data into the data warehouse using cutting-edge technologies.

Staff Data Engineer

Senior Machine Learning Engineer

Teachers Pay Teachers
Greater NYC Area
3 weeks ago
+24
As a Sr. Machine Learning Engineer at TpT you will be working with data scientists, data engineers, software engineers, and our product team to create production data products, including categorization, prediction, and recommender systems. You’ll be fitting models, designing, building and scaling services, and building tools to ensure quality and a great experience for our users.

Staff Data Scientist

Bluecore
Greater NYC Area
3 weeks ago
+24
Meticulous experimentation to evaluate and compare models. Work closely with engineers to deploy models to production and maintain them. Write internal and external facing documentation describing models and approaches, such as wiki pages, blog posts or journal papers. Identify new opportunities to leverage our data assets. Propose and drive large-scale technical initiatives. Explore new infrastructure solutions to accelerate the pace of model exploration and improve model serving and maintenance. Meet with customers to discuss our machine learning models and roadmap. Be a technical mentor for junior and senior team members.

Machine Learning Engineering

Simon Data
Greater NYC Area
3 weeks ago
+15
As a Machine Learning Engineer at Simon, you will be responsible for building and optimizing smart systems that drive revenue—our statistical models are at the core of our product, and will only become more so as we continue to develop and add features. We take an approach to ML that is data-first, and requires principled modeling decisions: we don’t believe in theory-crafting models before we have collected the data that will power them, as well as built out the business process that will continue to generate that data. In the model building process, we prioritize interpretable models whose training and performance yield insights about the underlying process, along with optimizing the selected objective. Finally, we believe that Don Knuth is more right about machine-learning models than anything else when he said premature optimization is the root of all evil. We only fix what needs fixing, but we fix it right.

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