Machine Learning Engineer - NLP

Company:
Location: Toronto, ON

*** Mention DataYoshi when applying ***

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 a Machine Learning Engineer - NLP to join our growing R&D team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, R&D, you’ll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.

This position is open to candidates who would like to work remotely (outside of the GTA) or in-person at our Toronto office (post-COVID). For candidates who will be working within the GTA once we return to the office, we will continue to have ongoing remote flexibility of up to 4 days per week (department dependent).

You will:

    • Build innovative ML models that enhance the speed and quality of life-saving research
    • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
    • Continuously improve our machine learning workflow by keeping up to date with the latest PyTorch optimizations and expanding our usage of modern tools such as DVC
    • Own the solutions and long-term technical investments that will drive innovation at BenchSci
    • Work with BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
    • Be empowered to own your solutions
    • Participate in sprint planning, estimation, and design/code reviews
    • Work with on-site PhD scientists that give immediate feedback on models
    • Work with fresh datasets that are custom curated and constantly updated
    • Receive one-on-one coaching and investment in your personal and professional growth

You have:

    • 3+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
    • Strong experience with Python and programming fundamentals
    • Extensive experience with NLP and PyTorch
    • Experience with data manipulation and processing using SQL or pandas
    • A growth mindset and a constant desire to learn
    • Strong cross-team communication and collaboration skills
    • Experience recreating and applying state-of-the-art NLP research

Nice to haves, but not mandatory qualifications:

    • A background in Life Science
    • Working knowledge of data versioning tools such as DVC for machine learning
    • Working knowledge of distributed systems and data processing fundamentals
    • Knowledge of distributed data processing abstractions like Beam or Spark
    • Working knowledge of machine learning data fundamentals such as data splits, training-serving skew, common data representations such as embeddings or multi-hot encodings, sampling strategies for active learning
    • Working knowledge of how to evaluate classification model quality, such as precision, recall, F1, PR/ROC curves

We will provide you with:

    • Lambda machine with a 48GB GPU
    • 16 MacBook Pro or Linux Laptop
    • Access to Google Cloud Platform resources

Our benefits and perks:

    • A compensation package that includes equity options in the company
    • An annual Executive Health Assessment at Medcan: All employees get the “executive treatment”
    • Effectiveness coaching for managers: Onsite, personalized coaching from an executive coach with a doctorate in clinical psychology
    • Mental health tools and support: Optional mindfulness sessions and a free Headspace account
    • Complimentary genome sequencing from 23andMe: Find out what your DNA says about your health, traits, and ancestry
    • Three weeks of vacation, plus another week: Get 15 days to use anytime, and we’re closed Dec 25-Jan 1
    • Additional days off: Company summer day, your birthday, and earn +1 vacation day annually
    • Work from anywhere flexibility: Every day right now, and up to 4 days per week once we return to the office
    • An onsite gym: Keep fit, conveniently, with a Peloton and other great equipment
    • A great benefits package: Including health and dental

Our Culture:
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.

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. To learn more, read about our DEI initiatives.

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

*** Mention DataYoshi when applying ***

Offers you may like...

  • TCS

    Lead Machine Learning Engineer
    Newark, NJ
  • ViacomCBS

    Senior Machine Learning Engineer (Remote)
    Atlanta, GA 30315
  • Palo Alto Networks

    Machine Learning Engineer (Remote)
    Santa Clara, CA
  • Rebellion Defense

    Senior Machine Learning Engineer, Autonomy - Radar
    Seattle, WA
  • Apple

    AI/ML - Machine Learning Engineer, Information Int...
    Zürich, ZH