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Machine Learning Engineer
  • Python
  • Spark
  • Java
  • Machine Learning
  • Matlab
  • Keras
  • scikit-learn
LocalWorkBC.ca
Toronto, ON
109 days ago
    Description
    Our Software Engineers build products on a variety of platforms and digital mediums, including web and mobile apps, wearables, smart cars, AR/VR and connected home. As an ML Engineer on our world-class team, you'll be exposed to the entire product lifecycle, from idea generation, design, prototyping, planning, execution, and ultimately shipping the final product to market. We're building a team that's passionate about innovation, apprenticeship (learning by pairing), and building the best connected experiences. We're looking for a smart, kind, and reliable Software Engineer who is eager to make a big impact and build amazing products that millions of users use everyday. If you're ready to grab this amazing opportunity and help us build the future, we want to work with you!

    Connected is a rapidly growing product development firm located in the heart of downtown Toronto. We partner with the world's leading organizations to build software-powered products that are enjoyed by millions of users globally. You likely have our clients' apps on your homescreen, their smart products in your home, or wear their devices every day to stay connected. Composed of software engineers, human-centred designers, and product managers, we are on a mission to build better products. Connected is one of CANADA'S TOP SMALL AND MEDIUM EMPLOYERS three years running and one of LINKEDIN'S TOP STARTUPS.

    Qualifications:
  • Software development experience in one or a variety of programming languages and frameworks (Python, Java, Objective-C, Swift, C/C++, PHP/Hack, Ruby, Go, NDK, Kotlin, Node.js, ReactJS)
  • Machine Learning experience or 3+ years of industry experience working with artificial intelligence, ideally with a focus on consumer-facing products
  • Demonstrated expertise designing and deploying software using one or more of the following frameworks for machine learning: TensorFlow, Theano, Keras, Scikit-learn, Spark ML, CNTK, Matlab, Torch, Caffe, MXNet, H2
  • Experience working directly with clients, leading project teams, and mentoring engineers
  • Solid understanding of programming and computer science fundamentals
  • A tenacious, entrepreneurial attitude with the drive to deliver high quality products on time
  • Strong interpersonal skills with the ability to collaborate across the team and work closely with clients
  • Experience building consumer-facing products
  • Experience and/or interest in Test Driven Development (TDD) and agile methodologies
  • Strong communication skills and an interest in a pair-programming environment where you will accelerate your knowledge and skills quickly
  • Experience working in a Continuous Integration & Delivery model
  • Experience in analyzing, designing, and developing large and complex code bases and software systems, including API design techniques, to improve overall design and keep them clean and maintainable
  • Comfortable working in a rapidly growing tech company, working with new technologies and applying best practices day-to-day
  • Ability to travel as required by client and engagement needs

  • Responsibilities:
  • Building impactful products for Fortune 500 clients
  • Creating simple, clean code to power new user-facing product features
  • Maintaining a high level of performance quality and having a reputation for shipping quality product
  • Collaborating, teaching and learning with fellow Connected engineers, designers, product managers, and our clients
  • Being reliable, taking ownership and making a big impact
  • Producing repeatable and predictable delivery of features
  • Refactoring and improving existing code when it gets brittle
  • Ensuring code is written to standards, has sufficient test coverage, and adheres to design requirements
  • Defining product and technical solution architecture
  • Helping us achieve our mission of building better products

  • Perks:
  • We're proudly employee owned, with stock option grants for all full-time permanent employees
  • 4 weeks vacation
  • Generous extended health benefits
  • Generous Parental Leave and Maternity Leave
  • $1,000 annual Education Credit for conferences, courses, workshops, and textbooks
  • $200 annual Fitness Credit for a gym membership, running shoes, or classes
  • Our quarterly "Disconnect" events are a chance to get out of the office and unwind as a team
  • Weekly team socials to have fun and hang out
  • Company-sponsored recreational sports teams
  • Fully stocked kitchen with snacks, fresh fruit, drinks, and coffee

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