Senior MLOps Engineer (Remote)
Vancouver, British Columbia
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 looking for a Senior MLOps Engineer to join our growing ML team! Reporting to the Engineering Manager, you will manage our end-to-end machine learning platform and core infrastructure, from research to production ML pipelines. You are well-versed with the nuances of CI/CD/CT in the machine learning lifecycle and have a results-oriented approach to measuring the improvement of your peers' engineering workflows. You will minimize the time it takes to take a model to production and maximize the reliability of that production ML system.
You Will:
- Drive components of our MLOps technical roadmap concerning high-throughput online inference, active learning for supervised approaches, and reproducible ML pipelines at scale.
- Design and implement reference architectures for large-scale ML systems to support both training and serving workloads collaborating and knowledge-sharing with our Core-Infrastructure team to compress time-to-production for Machine Learning
- Build tooling and pipelining abstractions to allow ML engineers to focus on experimentation while empowering self-service to deploy and serve their models consistently
- Help ML engineers produce clean, reproducible, and performant machine learning through rigorous code review with a lens on software quality
- Advocate for automation and monitoring at all steps of ML system construction, and help to define best practices based on personal industry experience and research across the Machine Learning team
- Participate in sprint planning, estimations, and reviews
You Have:
- 3+ years of software engineering experience, preferably with Python,
- Experience with Pytorch and pytorch lightening
- Experience maintaining functional, production reference architectures for end-to-end Machine Learning in cloud (GCP preferred)
- Linux system administration skills
- Familiarity with industry standards such as MLFlow and DVC
- Skills in containerizing ML Models (Docker experience preferred)
- Experience with declarative infrastructure and Kubernetes (GKE) for model serving and scalable inference
- Exposure to automated testing and CI/CD in the ML context
- Understanding of fundamental ML concepts
- A desire to see teammates succeed together
Nice to Have:
- Experience with PyTorch, TensorFlow, and ML libraries (image processing and NLP)
- Experience with Google AI Platform for PyTorch implementations
- Background in Life Science
- Experience with distributed data processing abstractions such as Apache Beam
- Experience with hermetic build tools such as Bazel
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: Architecture CAD CI/CD Docker Engineering GCP Kubernetes Linux Machine Learning MLFlow ML models MLOps NLP Pipelines Python PyTorch Research TensorFlow Testing
Perks/benefits: Career development Competitive pay Equity Flex vacation Health care Parental leave Startup environment Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs