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BenchSci

Engineering Manager, Data and ML

Remote Toronto, Ontario
Machine Learning Python Azure GCP AWS
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Description
We are looking for an Engineering Manager, Data and ML, to join our growing Data and ML team and report to the Director of Engineering, Data, and Machine Learning. You will lead a team that works on challenging problems to impact the 41,000+ scientists worldwide who rely on BenchSci for their research. 

As an Engineering Manager, you will be responsible for leading a team of talented engineers in the design, development, and deployment of cutting-edge data and machine learning solutions. Your deep technical expertise and experience with event-driven data pipelines incorporating online inference will be crucial as you guide your team through the entire development lifecycle, from discovery and solution design to implementation and deployment. You are passionate about mentoring and developing your team, fostering a high-performance culture, and aren't afraid to roll up your sleeves and contribute code when needed. Ultimately, you will be accountable for the successful delivery of business objectives, ensuring your team's work directly contributes to the advancement of BenchSci's mission and the success of the scientists who rely on us. 

Adaptability is key to success in this role, as change happens often, and you will need to navigate ambiguity. Our ideal candidate is flexible and supportive, knowing when to step in and work hands-on with their team and when to lean out and direct. 

You Have:

  • 4+ years working as a professional developer
  • 2+ years working as an engineering team manager
  • Experience hiring and building motivated engineering teams
  • Strong experience with Python and programming fundamentals
  • Experience working with Data Solutions incorporating online and batch ML inference
  • Experience with data engineering and machine learning design patterns and best practices
  • Experience shipping machine learning into distributed, data-intensive production systems
  • Strong cross-team communication and collaboration skills
  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
  • Experience working in a Cloud native environment (Azure, GCP or AWS)

Nice to Have:

  • Deep experience with NLP and/or Vision ML solutions including language and/or multimodal models
  • A background in Life Science
  • Work experience at companies during rapid growth stages
  • Experience working with GCP, specifically including Vertex AI, Dataflow, BigQuery, and GKE

Benefits and Perks: 
An engaging remote-first culture 
A great compensation package that includes BenchSci equity options
A robust  vacation policy plus an additional vacation day every year
Company closures for 14 more days throughout the year
Flex time for sick days, personal days, and religious holidays
Comprehensive health and dental benefits.
Annual learning & development budget
A one-time home office set-up budget to use upon joining BenchSci
An annual lifestyle spending account allowance
Generous parental leave benefits with a top-up plan or paid time off options
The ability to save for your retirement coupled with a company match!

About BenchSci:
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. 
Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.

Our Culture:
BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. 
We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. 
You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible.  Learn more about our culture.

Diversity, Equity and Inclusion: 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.  Learn more about our DEI initiatives.

Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.

#LI-Remote
BenchSci
BenchSci
Artificial Intelligence (AI) Biotechnology Life Science Machine Learning Pharmaceutical

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