We are seeking a Staff Machine Learning Engineer –NLP to join our growing Machine Learning 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 Director of Engineering in Machine Learning, you’ll apply your deep domain expertise to multiple mission-critical projects and architect advanced machine learning algorithms for the ML team to implement. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US, and the UK for this position.
You Will:
- Prototype ML Architecture across multiple ML Teams to execute in order to build robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
- Review and approve ML technical documentation to ensure quality and accuracy of performance and results
- Contribute to the ML roadmap by ensuring project proposals are both highly impactful and technically feasible
- Continuously improve our ML workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
- Lead design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment
- Own the solutions and long-term technology investments that will drive innovation at BenchSci
- Participate and contribute to sprint planning, estimation, and design/code reviews
- Provide guidance to less experienced engineers and help to foster a culture of continuous growth
- Work cross-functionally with different stakeholders including BenchSci’s R&D scientists
You Have:
- A Ph.D. in Computer Science, Machine Learning, or a related field
- 8 years of combined experience working as a professional developer and as a researcher applying machine learning techniques to solve business problems
- Established research track record, evidenced by conference or journal publications
- Strong experience with Python and programming fundamentals
- Extensive experience with NLP and PyTorch
- Experience with architecting, building, and evaluating robust and scalable production-ready ML models
- Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
- Experience with data manipulation and processing, such as SQL or pandas A growth mindset and a constant desire to learn
- Strong cross-team communication and collaboration skills
Benefits and Perks:
- An engaging remote-first culture
- A great compensation package that includes BenchSci equity options
- 15 days vacation plus an additional day every year;plus company closures for 15 more days throughout the year
- Unlimited flex time for sick days, personal days, religious holidays
- Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
- A $2000 CAD* Annual Learning &Development budget
- A $1000 CAD* home office set-up budget
- A $2500 CAD*wellness, lifestyle and productivity spending account for employees
- Generous parental leave benefits with a top-up plan or paid time off options
*Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
About BenchSci:
BenchSci’s vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world’s most advanced, biomedical artificial intelligence software platform.
Backed by F-Prime, Inovia, 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.