Routeique Inc. Hiring for Machine Learning Engineer at Calgary, AB Full Time

Company culture is at our core

Routeique is not a software company. Our business involves unraveling complexity, ironing out wrinkles, and finding better ways—which means our commitment is always considerably deeper than pixels on a screen, and far wider than just the supply chain.

We are a close-knit team of innovators with nerd-like enthusiasm, and veteran-like experience. We are supply chain experts armed with the mother of all digital platforms. And we are hell bent on ensuring every link, in every chain, is flawlessly efficient and seamless.

Indeed it’s our velvet integration of high touch and high tech—and our insistence on being partners, not vendors—that allow us to bring so much value to the table.

We strive to work passionately, improve daily, speak truthfully, invest wisely, watch carefully, iterate/innovate relentlessly and grow frequently. These are our values, they keep us accountable and drive us to our success. Success is not only growing the business but growing people.

What’s cool about Routeique?

At Routeique we know a supply chain can never be completely owned. The variables of logistics, warehousing, shipping and fulfillment are infinite, and not easily wrangled or second guessed—especially in a world wracked with the uncertainty of alarmingly frequent environmental, political and medical crises. That’s why, every day, we provide our clients with the next best things: insight, foresight, and oversight.

We give clients penetrating x-ray vision that tracks and traces every step of their networks, virtually, in real time—empowering them to stay ahead of problems, leapfrog legacy logjams, and capitalize on previously unseen opportunities… with crystal-clear transparency.

What you’ll be doing:
The Machine Learning Engineer uses their applied industry experience in deployment and operationalization of ML solutions in production environments to direct the research and development efforts of Routeique and our Supply Chain Clients. They bridge the gap between business opportunities and applied ML methods to provide direction and oversight on technical projects. They advise clients along the entire machine learning journey from scoping to model deployment and productization. This includes making informed decisions about what the data requirements are, what modeling techniques should be tested, how solutions should be deployed and monitored, and how success will be evaluated. As part of the development team, you will work to comprehend these complex customer needs and represent the customer through the development process including the below:

Study and transform data science prototypes

Design machine learning systems

Research and implement appropriate ML algorithms and tools

Develop machine learning applications according to requirements

Select appropriate datasets and data representation methods

Run machine learning tests and experiments

Perform statistical assessments and fine-tuning using test results

Train and retrain systems when necessary

Extend existing ML libraries and frameworks

Keep abreast of developments in the field

Who we’re looking for:
Extensive experience with ML frameworks, platforms and tools, and expert knowledge with at least one tool stack

Experience and comfort with DevOps and tools such as cloud platforms, containerization, CI/CD, etc

Adept in at least one programming language eg: Python, Java, C++ or R

Familiarity with at least two of: Tensorflow, Keras, PyTorch and Sklearn

You’re able to communicate on technical topics with a non-technical audience

General comprehension of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning

Up-to-date knowledge and strong engineering and analytical skills

You might also have:
Successful completion of post secondary education in Computer Science or related field with equivalent experience in Data Science

2 or more years of experience developing machine learning models in an applied setting

2 or more years of experience deploying machine learning models with production-quality code in industry

Technical product knowledge or previous experience with operational technologies in Supply Chain, Warehousing, Fulfillment, Logistics solutions

Being part of the Routeique team:
Routeique is a more than a fun place to work and we have always honoured a self-driven hybrid work environment allowing our team members to choose where and when they work. Oh, and did we forget to mention, Routeique is the place to make life changing income? With our US/European inspired ESOP (Employment Share Options Program) everyone has the choice to share in the companies success. That’s right… You are in the drivers seat along with everyone else, the decisions you make and effort you apply will allow you to directly benefit.

What you’ll also get:
Market/experience based salary

Comprehensive health, vision and dental benefits including a Health Spending Account and Employee Assistance Programs

Group RRSP matching program & group life insurance

TELUS Health Virtual Care: Online Doctors, virtual help and prescriptions in Canada

Paid vacation days + paid cultural holidays

Educational advancement

Events with fun prizes

Lunch and learns

Am I the right candidate for Routeique?

Sharing your knowledge with your team is fun for you, and you are happy to help other members of the team decode problems

You’re comfortable in an early-stage company and are excited at the idea of joining a team of smart, client-oriented folks

You’re a self-starter and can prioritize your time to achieve goals without a lot of day to day oversight

You’re interested in not just a job but building a company, culture, processes, and growing with us

You have a track record of committing to what you say you will do, and are passionate about delivering great products for teams and clients

You communicate clearly, write well, speak eloquently, and are comfortable explaining complicated issues over the phone and via email to both engineers and clients

You get along with people and like helping people, learning new things, and are quick to solve to problems proactively

You have experience with and enjoy working teams that are partially or fully remote

You are comfortable talking with internal team members and/or clients on product calls

Sometimes, confidence can deter us from applying for a job but you know what? A ‘perfect’ candidate doesn’t exist. Routeique is a place for everyone to grow. Whatever background you have and however you identify, please apply for this role if it’ll avoid the Case of the Mondays. We want you to be excited to show up to work everyday and we’re convinced you will, at Routeique.

https://routeique.bamboohr.com/jobs/view.php?id=62