NYC Tech Jobs and Startup Jobs

7

Machine Learning Product Scientist

Snap Inc.
Greater NYC Area
2 days ago
+48
We’re looking for a Machine Learning Product Scientist to join our Perception team at Snap Inc! Working from our Seattle office, you’ll collaborate with engineers and designers to find ways to apply machine learning and deep learning to create exciting products and breakthrough interactive experiences for millions of Snapchatters around the world.

Machine Learning Infrastructure Engineer

Machine Learning Product Engineer

Machine Learning Infrastructure Engineer, New Grad

Counsel (Disputes)

Peloton
Greater NYC Area
2 days ago
+27
Peloton is looking for a self-motivated, dynamic attorney with 5+ years of experience at a top law firm or in-house litigation practice to join our growing legal team. In this role, you will be primarily responsible for supporting Peloton’s senior attorneys and other internal clients across all locations and teams on litigation, pre-litigation, and insurance matters.  

Securities Counsel

Operations Principal, Legal Compliance

Via
Greater NYC Area
5 days ago
+14
As a Compliance Operations Principal, you will work closely with an elite team of highly dedicated and dynamic professionals, both lawyers and non-lawyers, who are graduates of the world’s top universities and law schools, and alums of elite private-sector and public-sector institutions. You will be an early hire in the build-out out Via’s global compliance infrastructure and will play an integral part in formulating and executing Via’s global compliance strategy. You will achieve those goals by generating data-driven insights, executing cross-city initiatives and developing next-generation product features. You will collaborate with top-notch global teams from the company’s engineering, finance, human resources, operations and policy teams to monitor, manage and resolve compliance-related issues. You will also:

Legal Counsel

Betterment
Greater NYC Area
1 week ago
+46
You are an outstanding attorney looking to join a groundbreaking startup that is making investing and cash management smarter, easier, and more accessible for everyone. You are a problem solver with excellent legal judgment and outstanding attention to detail. You are mission-driven, business-oriented, independent, and quick to learn. You can communicate clearly and persuasively to a wide variety of audiences. You can thrive in a dynamic, technology-driven environment and are comfortable taking action in the face of ambiguity. You are eager to make an impact and are always seeking new and improved ways of doing things.

Senior ML Engineer

OkCupid
Greater NYC Area
1 week ago
+32
Own building and architecting our production-oriented machine learning infrastructure. Select and research the right tools for the job and make them all work well together. Troubleshoot & find sustainable solutions for data issues and anomalies. Help out with building the BI stack where necessary. Work with product teams (e.g. matching recommendations) to understand and drive user impact.

Data Scientist

Via
Greater NYC Area
1 week ago
+14
Adeptly interpret and utilize mass quantities of data to generate innovative hypotheses & insights, and present these insights to the different stakeholders. Use sophisticated statistical methods to solve problems, leveraging up-to-date academic research and tools. Quantitatively test hypotheses about customer and driver behavior using large sets of proprietary data; leverage results to increase conversion and retention at every touch point. Design and implement novel experiments to better understand current operation as well as expansion to new markets.

Data Scientist, Sales Analytics

Slice
Greater NYC Area
2 weeks ago
+35
Slice is looking for data scientists with different seniority to join our Business Analytics team and help power the growth and success of the Sales organization. You will have a deep understanding and empathy for how sales teams operate and are a great partner to work closely with Sales leadership on a daily basis. You are scrappy and excited about working in an evolving business and data infrastructure, you feel passionate about building a data-driven culture of the company and having a huge impact on a growing team.

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