We know people are the driving force behind every successful business—including ours.

Working at NEA

We continually seek opportunities to expand our network of talented professionals, whether as part of NEA's team of investors and support personnel, or in an exciting role at one of our portfolio companies. Open positions with NEA will be posted as available, as well as a listing of current career opportunities with NEA-backed companies.

In addition, we have a highly experienced team of talent-focused individuals with expansive networks. Find out more about NEA talent resources and tools on our Talent & People Operations Resource Page.  Not logged in? Login or request a Portfolio Company login here.

Venture-backed start-ups are the lifeblood of innovation and job creation

Generating more than $2.3 trillion in annual revenue–18% of the U.S. GDP–and employing more than 10 million Americans, jobs at venture-backed companies are among the most rewarding careers on the planet, and many of NEA's growing portfolio companies have positions available. Check here often to see what exciting career opportunities are available at NEA-backed companies.

  • 2.3 Trillion Annual Revenue
  • 18 U.S. GDP
  • 10 Million Jobs

Connect with NEA

Job Details

Machine Learning Engineer at Sisu
San Francisco, CA, US
At Sisu, we're building a software platform that empowers people to make better decisions using data. Based on years of cutting-edge data systems research at Stanford, the platform provides actionable insights to businesses from their data. Sisu integrates with modern data warehouses, which provide a streaming, structured view of key business metrics and their relationships with first-party organizational data. We draw on novel techniques from data mining, statistical analysis, and machine learning to produce these insights and deliver them through an elegant, modern web interface.
You will be responsible for investigating and developing state-of-the-art algorithms in Sisu’s large-scale streaming structured data context. ML engineers at Sisu deliver their features end-to-end, from Jupyter notebook to production, and we’re looking for an early team to set the tone for doing this right as the ML team scales.

What you'll accomplish:
  • Develop and institute robust feeds of machine learning data from the platform
  • Deliver state-of-the-art algorithms to production for
    • forecasting time series
    • personalized ranking
    • robust statistical analysis of key customer business metrics 
  • Build and maintain the infrastructure for data and model management
  • Provide thought leadership to the Sisu design and engineering teams for ML-adjacent components
  • Give talks, write blog posts, and produce peer-reviewed publications about ML at Sisu

What you'll need to be successful:
  • Strong technical communication skills
  • Deep understanding of hypothesis testing and the calculus of probability
  • Comfort with data processing tools, like scipy, numpy, pandas, Spark
  • Software engineering experience or equivalent: forecasting deadlines, modular design, testing, code review, working with new code bases
  • Mature Python proficiency
  • BS in Computer Science or equivalent practical experience for basic understanding of data structures, algorithms, and system design

Sisu is looking for machine learning professionals interested in defining the shape of ML at Sisu. ML is integral to Sisu’s value proposition: our customers have invested heavily in storing structured data in new-generation warehouses. Your impact is providing a multiple on the analytics value that organizations can derive from data and integrate in their business-level decision-making processes. 

Sisu is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.