BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We do this by empowering scientists to run more successful experiments with the world's most advanced, easy to use biomedical artificial intelligence software platform, thereby avoiding delays that slow the progress of medicine to clinical trials. Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for more than 41,000 scientists that accelerates research at 15 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a CIX Top 10 Growth company, certified Great Place to Work®, and top-ranked company on Glassdoor.

We are seeking an MLOps Engineer to join our growing R&D team! Reporting to the Engineering Manager, you will own our end-to-end machine learning platform and core infrastructure, from research to production ML pipelines. Successful candidates for this role are well-versed with the nuances of CI/CD/CT in the machine learning lifecycle and have a results-oriented approach to measure the improvement to their peers’ engineering workflows. Ultimately, the mission of this role is to minimize the time it takes to take a model to production and maximize the reliability of that production ML system.

You Will:

• Drive core components of our MLOps technical roadmap concerning high-throughput online inference,  active learning for supervised approaches, and reproducible ML pipelines at scale
• Design and implement reference architectures for large-scale ML systems to support both training and serving workloads
• Collaborate and knowledge-share with our Core Infrastructure team to compress time-to-production for Machine Learning
• Build tooling and pipelining abstractions to allow ML engineers to focus on experimentation while empowering self-service to deploy and serve their models reliably and consistently
• Help ML engineers produce clean, reproducible, and highly performant machine learning through rigorous code review with a lens on software quality
• Advocate for automation and monitoring at all steps of ML system construction and help to define best practices based on personal industry experience and research
• Participate in sprint planning, estimations, and reviews

You Have:

• 3+ years of software engineering experience
• Strong experience with Python
• Experience with maintaining functional, production reference architectures for end-to-end Machine Learning in the cloud
• Strong Linux system administration skills 
• Familiarity with industry standards such as MLFlow and DVC
• Experience with declarative infrastructure and Kubernetes (GKE) for model serving and scalable inference
• Exposure to automated testing and CI/CD in the ML context
• Understanding of fundamental ML concepts 
• A constant desire to grow and learn
• Strong cross-team communication and collaboration skills
• A desire to see teammates succeed together 

Nice to haves, but not mandatory qualifications:

• Experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image
• Experience with Google AI Platform for PyTorch implementations
• Background in Life Science
• Experience with distributed data processing abstractions such as Apache Beam
• Experience with hermetic build tools such as Bazel

Our benefits and perks:

• An engaging remote-first culture that hires the best talent from around the world
• A competitive compensation package that includes BenchSci equity options 
• Comprehensive health and dental benefits with an emphasis on mental health
• An annual Executive Health Assessment at Medcan for proactive health awareness
• Three weeks of vacation plus an additional day for every completed year
• Generous parental leave benefits with a top-up plan or paid time off options
• Additional time-off: Winter Holiday (Dec 25-Jan 1), Summer Holiday, your birthday, and more!
• An Oculus Quest 2 to connect with your team members in Virtual Reality
• An executive coach for managers to assist in leading high-performing teams
• Complimentary Headspace account to support mental wellness and focus
• Complimentary genome sequencing from 23andMe to better understand your health through your DNA

We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focused, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.

We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.

BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.

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