Tech Lead, Machine Learning - Computer Vision (Remote)
London, England
BenchSci
BenchSci is a world leader in AI solutions for preclinical R&D. Using proprietary technology, we help decode the complexity of biomedical research.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.
We are seeking a Tech Lead to join our Machine Learning team. You’re the perfect fit for this role if you are passionate about solving Computer Vision (CV) problems, have a great appreciation for science and want to transform how it is done. To be successful in this role, you will need to be comfortable leading the development of creative solutions while being results-oriented, honest and fast to act.
You Will:
- Continuously improve the performance and scalability of ML models that are at the core of BenchSci’s products
- Leading and providing technical direction for BenchSci’s ML team Push the envelope of research in CV
- Regularly investigating what technologies will best enable BenchSci to effectively generate use cases
- Work with BenchSci's Chief Science Officer and Director of ML to correctly capture the nuances of biology and the CV field
- Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research
- Participate in sprint planning, estimation and reviews. Take ownership of deliverables, and work with teammates to ensure high-quality deliverables
You Have:
- Experience productionalizing ML models
- 2+ years of tech lead experience
- Strong experience with CV models (such as YOLO, RCNN, EfficientNET, Vision Transformer, etc)
- Strong experience with CV subjects (OCR, Semantic segmentation, etc.)
- A degree in computer science with a focus on machine learning, or at least two years of experience in the industry or data science competitions
- Strong experience with PyTorch, TensorFlow, and image processing libraries (both modern and deep learning based and conventional ones such as OpenCV and scikit-image)
- Experience with data processing frameworks
- A constant desire to grow and develop
- Strong cross-team communication and collaboration skills
Nice to Have:
- Research publications in ML/AI-related fields
- Background in Life Science (cell biology, molecular biology, genetics, immunology, microbiology)
- Experience in bioinformatics
Our Culture:At BenchSci, we’re committed to cultivating an inspiring, inclusive, and equitable work environment for high performing, ego-free, self-starting individuals with a growth mindset, who enjoy the challenge of solving hard problems. We recognize that everyone here is a person first and an employee second. We want people to feel cared for and supported to bring the best versions of themselves to work and help the company achieve its mission. 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.
BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
#LI-Remote
Tags: Biology CAD Computer Science Computer Vision Deep Learning Machine Learning ML models OCR OpenCV PyTorch Research Scikit-learn TensorFlow YOLO
Perks/benefits: Career development Competitive pay Equity Flex vacation Health care Parental leave Startup environment Transparency Wellness
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