We value curiosity, innovation, and an ambitious mindset.
Ability to do impactful ML work, learn from other industry-leading minds, contribute to successful outcomes, publish/attend top tier ML conferences, win competitive challenges as a team and get recognized.
Solid track record in academia and industry to untangle the world’s most complex problems. Access to unique datasets and agile team. Short time to production means seeing meaningful impact quickly.
Immerse yourself in our culture of learning where you can grow and learn at the cutting edge of ML.
-
At Layer 6 I get to work at the intersection of real-world problems and difficult mathematics. The models we build & deploy within TD ensure that we’re able to handle the challenges of making meaningful predictions from massive & noisy datasets, while our research projects enable us to keep up to date with the latest ML research. The best thing about working here is that everyone brings something to the table — each of my colleagues understands some things that no one else in the office does.
Harry BravinerMachine Learning Scientist
-
Layer 6 offers me the great opportunity to participate in cutting-edge research in both recommender systems and natural language processing. I love the motivating work environment and being able to work with my brilliant colleagues. The talent and enthusiasm of team is really great and stimulating for me.
Yichao LuMachine Learning Scientist
-
Layer 6 values creative people with their own original ideas, and provides wide opportunities and resources for self-realization in return. Everyone is totally possessed by their work. What drives me personally is the ability to make and observe an immediate quantifiable impact of my work, and the freedom to alternate my time between applied use cases and research projects.
Ilya StanevichMachine Learning Scientist
-
At Layer 6 I get to work on ambitious problems with smart people who are passionate about driving change with machine learning. We have the opportunity to touch millions of people in really core aspects of their lives, whether in financial services or beyond, and a culture that supports a tremendous amount of intellectual freedom. I love how short the path is between research innovation and application at Layer 6.
Saba ZuberiMachine Learning Scientist
-
Layer 6 has no shortage of state-of-the-art research and socially impactful problems to solve in the fields of CV, NLP, Health, and Banking. These days, I’m building recommender systems for TD’s Digital Mobile App to provide Canadians with more financial confidence. Our culture at Layer 6 is great – I find progress to be always more rewarding when you're surrounded by people who get you.
Anson WongMachine Learning Scientist
We care about our employees.
We offer generous packages of pension plans, health coverage, visa support and vacation. We have healthy and low-sugar snacks in the office.
We’re committed to fill your curiosity.
We provide unique opportunities for our team to learn from the researchers at Vector Institute. We encourage everyone to challenge themselves and acquire knowledge at international competitions and conferences. We organize lunch & learn series to share our findings and learn from each other.
We have a driven, diverse, and amiable culture.
We are self-motivated, entrepreneurial, competitive yet humble and nice to each other. We are open minded and provide everyone with equal opportunities to achieve their professional goals. We work extremely hard but still take time to have fun and exciting activities!
Join us
Senior Full-Stack Engineer
Machine Learning Platform
In this role, you will work on a system that will serve as the main interface to our machine learning platform. The goal of the system is to help in all stages of model development, from feature engineering all the way to production monitoring. We are looking for a BSc+ in Computer Science or similar with 5+ years of programming experience.
Senior Full-Stack Engineer
Machine Learning Platform
Layer 6 is a leading Canadian machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.
Our technical capabilities have been publicly recognized through multiple wins of international machine learning competitions, including being the only repeat winner of the prestigious ACM RecSys Challenge (Xing dataset in 2017, Spotify dataset in 2018), runner-up at the Google’s Landmark Retrieval Challenge in 2018 and 4th place at the Kaggle: RSNA Pneumonia Detection Challenge in 2018.
About this position
We are looking for world-class engineers to work on a system that will serve as the main interface to our machine learning platform. The goal of the system is to help in all stages of model development, from feature engineering all the way to production monitoring. We will help data scientists build better models by helping them understand the data and the trained models. We will also provide tools to analyze and visualize machine learning algorithms to bring transparency and explainability and to extract valuable business insights.
As full-stack engineer at Layer 6, you will work with data scientists to learn about different machine learning algorithms and ways to analyze them. You will work with the team to architect backend systems and design a REST API for the front-end web application. On the front-end, you will build intuitive interfaces to visualize data and answer questions about machine learning models. You will also work with the engineering team to solve challenges of developing high performance, robust and scalable systems.
Must have
- BSc+ in Computer Science or similar
- 5+ years of programming experience
- Proven experience in designing and delivering a large web application
- Experience as a key contributor and leader on projects
- Strong experience in Java or JavaScript (or other front-end languages)
- Extensive experience with at least one front-end framework (React, Elm, etc.)
- Passionate about creating great user experience
- Strong desire to learn
Nice to have
- Experience in building a web app in Elm
- Experience with functional programming
- Experience with Elasticsearch
- Familiarity with data analysis or machine learning
- Experience with Docker and AWS
- Comfortable with math (linear algebra, calculus)
Benefits
- Entrepreneurial and inclusive culture
- Excellent health coverage
- Four weeks paid vacation
- Catered lunches twice a week over machine learning talks
- Opportunities to collaborate with faculty at the Vector Institute
Please submit your CV to careers@layer6.ai.
Senior Backend Engineer
Machine Learning Platform
In this role you will be working on design, development and delivery of scalable systems for data ingest, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades. We’re looking for a BSc+ in Computer Science or similar.
Senior Backend Engineer
Machine Learning Platform
Layer 6 is a leading Canadian machine learning research company, developing advanced machine learning and deep learning systems to solve complex problems with enormous data. Our technical capabilities have been publicly recognized through multiple wins of international data science competitions, including being the only repeat winner of the prestigious ACM RecSys Challenge (Xing dataset in 2017, Spotify dataset in 2018). Recently we also finished second in Google’s Landmark Retrieval Challenge.
About this position
There are a lot of advances in the area of machine learning mostly concentrated around developing and training the models that solve a particular problem. To make these models useful in a production setting requires a lot of smart engineering work.
We are looking for world-class developers and problem solvers. This position is for an experienced backend engineer. You will be expected to lead the development of many components of the platform while being hands-on and leading by example.
You will join the team solving the challenges of developing high performance, robust and scalable machine learning solutions and delivering them in production.
You will be interacting with data teams, infrastructure teams and machine learning scientists to develop machine learning systems and pipelines that work. In particular, you will be working on design, development and delivery of scalable systems for data ingest, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.
Must have
- BSc+ in Computer Science or similar
- 6+ years of extensive programming experience, at least 3 years in building production Java backends
- Proven experience in designing and delivering high performance production grade software
- Strong experience with design and development of distributed systems
- Strong experience with at least 3 of Cassandra, Kafka, Elasticsearch, Spark, Vert.x, gRPC
- Proven experience with performance optimizations Experience as a key contributor and leader on projects
- Strong security practices
- Strong experience with Java 8
Nice to have
- Scala, C++, Python experience
- Big Data experience
- Docker/Kubernetes
- Experience designing and running solutions on AWS
- Experience in systems/infrastructure projects on Linux
- Machine Learning experience
- Deep Learning model training with GPUs
Benefits
- Entrepreneurial and inclusive culture
- Excellent health coverage
- Four weeks paid vacation
- Catered lunches twice a week over machine learning talks
- Opportunities to collaborate with faculty at the Vector Institute
Please submit your CV to careers@layer6.ai.
Machine Learning Scientist
In this role you will research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product. We’re looking for someone with a PhD in Computer Science, Statistics, Operations Research, Mathematics or a related field.
Machine Learning Scientist
Layer 6 is a leading Canadian machine learning research company, developing advanced machine learning and deep learning systems to solve complex problems with enormous data. Our technical capabilities have been publicly recognized through multiple wins of international data science competitions, including being the only repeat winner of the prestigious ACM RecSys Challenge (Xing dataset in 2017, Spotify dataset in 2018). Recently we also finished second in Google’s Landmark Retrieval Challenge.
As a machine learning scientist, you will
- Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
- Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
- Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
- Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
Required Qualifications
- PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
- Strong background in machine learning
- 5+ years of research experience with publication record
- Proven track record of applying machine learning to solve real-world problems
Preferred Qualifications
- Experience with deep learning and/or collaborative filtering
- Hands on experience in software systems development and SaaS applications
- Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
- Experience using GPUs for accelerated deep learning training
- Familiarity with AWS
Benefits
- Entrepreneurial and inclusive culture
- Excellent health coverage
- Four weeks paid vacation
- Catered lunches twice a week over machine learning talks
- Opportunities to collaborate with faculty at the Vector Institute
Please submit your CV to careers@layer6.ai.
Java Engineer
Machine Learning Libraries
Developing our core libraries is a continuous work in progress and we’re looking for a highly skilled engineer to lead the effort.
Java Engineer
Machine Learning Libraries
Layer 6 is a leading Canadian machine learning research company, developing advanced machine learning and deep learning systems to solve complex problems with enormous data. Our technical capabilities have been publicly recognized through multiple wins of international data science competitions, including being the only repeat winner of the prestigious ACM RecSys Challenge (Xing dataset in 2017, Spotify dataset in 2018). Recently we also finished second in Google’s Landmark Retrieval Challenge.
About this position
Efficient and scalable machine learning (ML) libraries are crucial for effective development and deployment of ML models in production. In addition to high performance, they must be flexible to allow new models to be quickly implemented and user-friendly.
The Layer 6 ML infrastructure revolves around a set of core libraries built from the ground up in Java to facilitate large-scale experiments, and rapidly deploy developed models to high performance production modules. This framework has translated to numerous successes, both in our production deployments as well as our leading performance in many international data science competitions.
The development of these libraries is a continuous work in progress and we are looking for a highly skilled engineer to lead that effort. You will be part of a team that is performance driven and passionate in deploying impactful ML frameworks. You will work closely with highly skilled researchers and engineers to design, build, and maintain the core ML libraries, focusing on performance and usability.
You will be expected to have a solid understanding of both software development as well as high-performance computing. You will be expected lead the development of many core components in the ML libraries while being hands-on and leading by example.
Must have
- BSc+ in Computer Science or similar
- 5+ years of programming experience building production-grade software, at least 3 years in Java
- Expertise in Java 7+ (JVM, GC, memory structure, Java 8 preferred)
- Expertise in linear algebra (matrix/vector operations)
- Knowledge of core machine learning principles(supervised/unsupervised learning)
Nice to have
- Working experience with MKL or similar high performance linear algebra libraries
- Experience with Apache MXNet
- Experience with native libraries in Java (JNI)
- Experience contributing to open source Java projects (bonus if ML or linear algebra related, such as Apache MXNet, any dmlc projects, ND4j etc.)
Benefits
- Entrepreneurial and inclusive culture
- Excellent health coverage
- Four weeks paid vacation
- Catered lunches twice a week over machine learning talks
- Opportunities to collaborate with faculty at the Vector Institute
Please submit your CV to careers@layer6.ai.
Our team is growing fast
We’re always looking for ambitious, execution-oriented people. Submit your CV to careers@layer6.ai and let’s chat.
Our hiring process
Apply
Start by submitting your CV. If your credentials meet the requirements for the role, we’ll schedule an in-person interview at our MaRS offices in downtown Toronto.
Technical test
Your first interview will be conducted with the appropriate tech lead. You will complete three stages (Math, Coding and ML) of technical testing to assess your relevant problem solving abilities.
Final interview
Following the technical interview, you will meet with one of our founders to discuss your previous work/school experience and your aspirations in machine learning.
Receive offer
Only the most technically accomplished candidates with a strong culture fit will be offered employment packages.
Technical test sample questions
Coding Question: Implement a function to compute the number of occurrences of a digit k in all numbers between a and b where a >=0 and b >= a. Estimate the runtime of your function. You can use Java, C++, Python or Scala.
Math Question #1: Write a function sample_x( ) to draw independent samples of a random variable with probability density function
Assume you have a function RNG( ) that returns independent floats uniformly distributed in [0,1]. Can you find a way of doing this that runs in a deterministic amount of time?
Math Question #2: Consider the loss function L(x, y) = ½ ( ax² + by² ). Here x and y are the parameters, and a and b are positive constants. For what values of the learning rate will gradient descent converge to the minimum?