About Lancey

Lancey is a growing digital first company helping customers close more deals with interactive product demos. We are building the workplace of the future to build the software buying experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.

We are backed by the biggest venture fund in the world, YCombinator. We provide our employees with competitive compensation, great health benefits, and ownership in our company.

Everyone has their own unique talents. Even if you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your application.

About the role

About the company

Lancey is a YC-backed startup out of Toronto, Canada. We're empowering marketing, sales, and product teams to turn their product into interactive product demos that power their go-to-market effort.

About the role

As a founding Machine Learning Lead at Lancey, you will play a pivotal role in shaping the core machine learning capabilities of our platform. You will be responsible for designing, developing, and implementing cutting-edge machine learning models and algorithms. Your work will accelerate ML development as the team scales up.

What you'll do

Lead ML Platform strategy and architecture according to industry standards for monitoring, orchestration, and testing.
Successfully transform AI research into commercial products that meet the needs of our clients.
Ensure that the productized ML models are scalable, reliable, and of high quality.
Foster close collaboration with AI research teams to ensure that their innovations are effectively integrated into the product development process.
Release features that deliver measurable and tangible business value.
Conduct design reviews and hold the team to technical and operational rigor.
Serve as a thought leader, providing technical guidance and mentorship to junior developers and contributing to the overall technical excellence of the organization.

What we're looking for

5+ years SWE experience, including 3+ years of ML/MLOps experience
Bachelor’s degree in Computer Science, Mathematics, Engineering, or related technical field
Experience architecting, building, and maintaining production ML systems at scale
Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
Proficiency with Python
Experience with large-scale data processing frameworks (we use PySpark)
Experience with cloud computing platforms (we use Amazon Web Services(AWS)
Experience integrating common ML frameworks (we use PyTorch, scikit-learn, etc.)
Experience implementing microservices and APIs
Familiarity with machine learning concepts, such as traditional ML, deep learning, generative AI/LLMs, statistical modeling, or recommender systems
Able to work effectively in a fast-paced environment

Additional Information

At Lancey, our employees are our greatest assets. We are committed to providing a challenging and inclusive environment where you can grow and succeed. If you have a passion for technology and want a role that will continually challenge and reward you, we want to hear from you.

Technology

At Lancey we welcome new tools/technologies with open arms. If you are the kind of person who is passionate about learning something new or teaching new tools/technologies to others. You found the right place for you.

Interview Process

Our goal is to make this as simple and enjoyable for you as possible, while respecting your time.

Intro call: a 30 min chat with our CEO about the position, your background, your motivation and all the initial questions you might have.
Take-home assignment: Async programming assignment, solving the typical kinds of problems we’re solving in our real codebase.
Technical interview: Meet the engineering team who will evaluate your skills needed to be successful in your role.
Final round (with leadership team): Learn a bit more about your long term goals!
Offer!

Lancey remote jobs

Machine Learning Lead