Senior Machine Learning Engineer - Computer Vision Researcher (Remote)

We are hiring for the role of Machine Learning Engineer - Computer Vision Researcher to expand our growing ML team. Your role will involve addressing complex computer vision issues and making a substantial impact on over 31,000 life scientists globally who depend on BenchSci for their research. Under the guidance of the Engineering Manager, ML, you will employ your field experience to choose, train, and implement the most suitable machine learning algorithms, collaborate with scientists for experimentation, and use your skills to develop solutions that will shape the future of scientific discovery. You will have ample room for technological innovation and greenfield exploration, helping propose computer vision solutions to a complex area. BenchSci is primarily a remote organization, currently accepting applicants from Canada. Your responsibilities: - Enhance the performance and scalability of ML models and pipelines integral to BenchSci's products. - Tackle different problem stages, from prototyping to productization. - Contribute to key components defining BenchSci's ML Technical Roadmap across the machine learning ecosystem. - Research the best technologies to assist BenchSci in identifying experimental insights through proof-of-concepts. - Work with multidisciplinary teams to accurately interpret nuances of biology, converting them into ML objectives. - Promote code and engineering process improvements within your team and establish best practices based on your industry experience and research. - Participate in sprint planning, estimations, and reviews. - Collaborate with teammates to ensure high-quality deliverables. Your qualification: - A working experience of 3+ years in applied research, with at least 2 years focused on machine learning and computer vision. - Bachelor's or Master's degree in Computer Science, Mathematics, or related disciplines. - Excellent software engineering skills in Python. - Extensive knowledge in the machine learning lifecycle, including the subtleties of the infrastructure and operations. - Experience with ML and/or Computer Vision basics. - Experience in productionalizing ML models. - Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image. - Experience with distributed and cloud-based data processing frameworks like Apache Spark or Apache Beam. - Constant desire to learn and grow while being a team player. Benefits and Perks at BenchSci: - A collaborative remote-first culture. - A competitive compensation package inclusive of BenchSci equity options. - 15 days of vacation plus an extra day each year; the company also schedules additional 15 closures throughout the year. - Unlimited flex time for sick, personal days, and religious holidays. - Comprehensive health and dental benefits, including $2500 CAD for mental health support services. - An annual Learning & Development budget of $2000 CAD. - A $1000 CAD home office set-up budget. - A $2500 CAD wellness, lifestyle, and productivity allowance. - Generous parental leave benefits with options for paid time off or a top-up plan. About BenchSci: BenchSci's mission is to suitably accelerate the pace and quality of life-saving research and development. We are empowering scientists to run more successful experiments through our most sophisticated biomedical artificial intelligence software platform. We are supported by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures. We provide an essential tool for scientists that speeds up research at 16 top 20 pharmaceutical companies and over 4,300 top academic centers. We are a certified Great Place to Work® and ranked high on Glassdoor. Our Culture: At BenchSci, we are dedicated to building a solid basis of our culture. Team members come first for us as they are the organization's heart. We invest as much in our people as in our products. Our culture encourages transparency, collaboration, and continuous learning. We value our differences and consistently seek opportunities to integrate equity into our work fabric. We nurture diversity, autonomy, and personal growth, and provide resources to self-motivated leaders for continuous improvement. At BenchSci, you'll work with high-impact, skilled, and intelligent professionals driven to make an impact and fulfill a significant mission. We empower you to unleash your full potential, do your best work, and thrive. Diversity, Equity and Inclusion: We are committed to fostering an inclusive environment where people from all backgrounds can excel. We believe it's our joint responsibility to improve diversity, equity and inclusion, guiding us in our DEI journey. Accessibility Accommodations: For any required accommodations, we will work to meet your needs. Please reach out to [email protected]. #LI-Remote