Software Engineer - Machine Learning

Benchling

Over the coming years, biotech will fundamentally rewrite the way we live. Gene editing and cell therapy are dramatically changing how we treat cancer and other major illnesses. Biofuels and biomaterials are transforming the cars we drive, the clothes we wear, and the makeup of everyday objects. Crop science and synthetic biology are producing sustainable and ethical food. Benchling’s mission is to accelerate the research that propels us towards this reality, and magnify its impact, through modern software.

Every day, scientists around the world use Benchling’s applications, platform, & analytics in their efforts to solve humanity’s most pressing problems. For these scientists, Benchling is the central technology they use to conduct their research. Our customers include pharmaceutical giants, leading biotechs, and the world’s most renowned research institutes.

Role Overview

As one of Benchling’s first Machine Learning (ML) engineers, you’ll join a rapidly growing, world-class engineering team, and help bootstrap ML capabilities for Benchling. You will enable use cases that range from scientific (predicting antibody efficacy from sequence efficacy, anomaly detection, recommending process development parameters based on historical study results), to operational (forecasting the speed and efficiency of various workflows and identifying predictors of success and failures, inventory optimization, demand forecasting), to user experience (search relevance, type-ahead search, recognizing text in scanned documents). You’ll serve as a key input and thought leader, and work closely with the product teams to deliver ML driven capabilities to our internal and external customers.

You Might Work On

  • Architect and build Benchling’s first Machine Learning applications, and be part of the team that incubates ML applications at Benchling
  • Partner with applications teams to define the right interfaces, and help integrate ML models into the applications
  • Identify and fill the gaps on the platform to enable ML applications at scale
  • Drive build-vs-buy conversations for various components of the ML stack
  • Monitor and tune ML models, and identify gaps in data and instrumentation needed for building the best ML models

About You

  • 8+ years of industry experience designing and building machine learning applications
  • Strong communicator with both words and data - you understand what it takes to go from raw data to something a human understands
  • Comfortable with complexity in the short term but can build towards simplicity in the long term
  • Experience with machine learning techniques such as regression, classification, and clustering
  • Experience with machine learning libraries such as scikit-learn, Spark ML Lib, TensorFlow, or others
  • Comfortable with SQL and Python
  • Pluses: Background in the life sciences domain
  • Pluses: Experience with deep learning technologies

Perks And Benefits

  • Work with a talented yet humble team
  • Competitive compensation & equity package
  • Weekly virtual social events, and annual company retreats
  • 401k, Medical, dental, and vision insurance (US Employees Only)
  • Monthly health & wellness stipend (Currently US Employees Only)
  • Yearly educational stipend (Currently US Employees Only)
  • Flexible & Generous Vacation Policy: If you feel you need a break, you can talk directly with your manager to find coverage and support while you are out of the office. Need time off to vote? We've got you covered.
  • Quarterly company-wide mental health days off
  • Holiday Shut-down: company-wide holiday shut-down between Christmas Even and New Years
  • Major US and EMEA holidays observed
  • To support remote work conditions during the COVID-19 pandemic, Benchling provides each employee a one-time stipend of $1,000(USD) upon commencing employment, and additional discounted employee purchase plans for home-office equipment.

Please let Benchling know you found this position on Remotely We Code as a way to support us.

Posted

  • August 28

Location

  • Remote - USA

Job Type

  • Full-Time

Please let Benchling know you found this position on Remotely We Code as a way to support us.