Machine Learning Engineer

Remote / San Francisco, CA

CircleUp harnesses the power of machine learning and predictive analytics to discover some of the fastest-growing companies in the consumer & retail sector. We are building a predictive data system called "Helio" to bring the data-driven revolution that has occurred in the public markets to the private markets, starting with consumer & retail. 

We are working on challenging problems in information retrieval, entity resolution, and developing an in-depth knowledge graph of all private companies. We are mining vast amounts of data to successfully rewrite the rules on how private companies are evaluated

With a background in both software development and machine learning, you will collaborate with software engineers, data scientists, PMs, and domain experts in consumer investing to develop & ship predictive data products in support of CircleUp's mission - helping entrepreneurs thrive by connecting them with the capital & resources they need. 

You are a passionate software engineer who is comfortable working across the full stack & lifecycle of predictive data products - prototyping, feature engineering, validation, and productionalization.

CircleUp was recently honored as one of Fast Company's Top 10 Most Innovative Companies in Data Science and has been named a CB Insights FinTech 250, a Top 5 Most Disruptive Company in Finance by CNBC, and to the Forbes FinTech 50. Founded in 2012, CircleUp is headquartered in San Francisco and backed by Union Square Ventures, GV, Canaan Partners, QED Advisors, and others.

Responsibilities:

  • Collect and refine structured and unstructured data on private companies
  • Build out our entity resolution platform that can identify references to companies, brands and products in highly unstructured digital documents and link them back to real world entities
  • Build scalable production systems for data collection, data transformation, feature extraction, model training, and scoring, using distributed software tools
  • Build end to end algorithms for objectively measuring the quality of private consumer companies
  • Contribute to all phases of algorithm development including ideation, prototyping, design and production

We're looking for teammates who have:

  • Bachelor's degree or higher in Computer Science, Information retrieval, Natural Language processing, Math, Statistics or related technical field
  • 2+ years of experience in machine learning, NLP and/or information retrieval 
  • Broad knowledge of machine learning APIs, tools, and open source libraries
  • Excellent coding skills and strong fundamentals in algorithms, data structures, predictive modeling and big data concepts
  • Experience putting models into production systems is a huge plus
  • An interest in disrupting and democratizing the entire industry within the private markets.

If you got to this point, we hope you’re feeling excited about the job description you just read! Even if you feel that you don't meet all of the requirements and qualifications, we still encourage you to apply. We’re eager to speak with those who share our passion to help entrepreneurs thrive - not just those who match every bullet point in our job descriptions. 

CircleUp is an equal opportunity employer. We do not discriminate based upon race, religious creed, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status (including registered domestic partnership status), sex and gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), age, sexual orientation, Civil Air Patrol status, military and veteran status and any other consideration protected by federal, state or local law. We encourage those who really want to make an impact to apply for our open positions.

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