Machine Learning Engineer

Machine Learning Engineer

This job is no longer open
Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 90 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else.  Our brand banner includes: Wattpad, W Ventures, Wattpad WEBTOON Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!

At Wattpad, we have a massive scale and reach across our global users; this is what makes us unique. It’s been an exciting time of growth, change and development for Wattpad. Working at Wattpad, you will have access to large and unique data sources. In addition to a massive corpus of stories, we work with engagement data such as comments, votes (i.e., likes), and conversations between readers and creators. These conversations and engagements have driven the popularity of hit fiction titles such as 'After', 'The Kissing Booth', 'I am a Gay Wizard', and many others. 

The Data Products & Services (DPS) team owns Wattpad’s Search and Recommendation system. We are a cross functional team of engineers and data scientists with the vision to connect millions of readers to the right story at the right time. We build recommendation engines and information retrieval systems to power everything from the “Home” page to “Search” and “Browse” experiences. If you have a passion for building discovery systems at massive scale, come join us to build the next iteration of our ML engines!

What you'll be doing:

    • Creating a seamless experience for our data scientists  - you’ll be working with our data scientists and data engineers to understand the models that they are working on. You’ll take these models and build and maintain the corresponding ML services, microservices, datasets, and pipelines to deliver these experiences to our users
    • Build to last - working with the platform and infrastructure teams you and our other ML engineers work to incorporate your learnings from deploying these models into our platforms, our tooling, and our infrastructure. Our ML engineers are building one of the world’s largest user generated AI platforms - we want you to do it right, and to do it at scale.
    • End-to-end construction - in short, you’ll be working with our data science and applied research teams to frame problems, architect the solutions, design the data and processing pipelines, and automate all of them as much as you can. Each model is different, so expect a changing, challenging landscape.
    • Search and recommendations - our team’s focus this year is around search and recommendations systems.  You’ll work on the existing system and its models through experimentation, feature engineering, deployment, scaling, monitoring and training. You will also build and maintain models, algorithms (new ranking algorithms), features, queries to understand content, user engagement, diversification

Do you have most of the following? If so, please apply!

    • You have 3+ years experience building full-stack ML systems. You’ve got experience supporting these systems in the development lifecycle and in production. You are interested in working with (or have worked with) complex back-ends (a mix of monoliths and microservices) or infrastructure (Kubernetes, Spark, EMR, and hybrid hosting)
    • You understand software engineering principles, you’ve got the fundamentals down cold,  and have used them in the ML / AI / NLP space, preferably in search and recommendation systems
    • You’re proficient with cloud technologies, primarily in the AWS stack. You understand how they relate to Data Science and Machine learning in the large (e.g. EMR, ECR, EKS would be a plus)
    • You’re proficient in python, SQL, and *nix environments. If you’ve worked with Go, PHP, Hack or other backend languages that would be a plus.
    • You’re familiar with a few different ML and Deep Learning toolkits; we use Tensorflow Serving, but experience with PyTorch, MLFlow, Sagemaker, Kubeflow, MLflow, DataBricks would help you succeed quicker. Regardless of your experience, you are able to articulate the strengths and weaknesses of these solutions, and to reason with compromises required for systems at scale. 
    • You have industry or academic experience with personalization or recommender systems
    • You have a solid understanding of Matrix Factorization and/or Factorization Machines
    • You have an understanding of Recsys metrics and evaluation methodologies
    • You love to deliver impactful products that accelerate the workflows of our business and end users
    • You care about data science best practices and aim to improve it by applying an operational mindset along with sound testing techniques
    • You have a systematic approach to project planning and dealing with ambiguity
    • You are able to articulate the strengths and weaknesses of solutions, and to reason about the compromises required for systems at scale
    • Uphold high engineering standards and best practices
    • Drive architectural decisions (such as assessing vendors in order to buy vs build/make)

Bonus Points:

    • Good understanding of Stochastic Ranking, Bandit Algos and probabilistic methodologies such as (Variational Inference)
    • Experience with running Online Recsys experiments
    • Experience with Learning to Rank algorithms
    • Good understanding of Deep Learning based recsys (such as NCF, DeepFM, DCN etc.)
    • Have published in Recsys focused conferences such as ACM Recsys, KDD, WSDM, WWW etc.
    • You have experience in a technical/project leadership role

What we offer:

    • Competitive salary
    • Career development; we believe in mentorship and investing in your learning, supporting you to achieve your goals
    • Health benefits, fully covered by us!
    • RRSP Contributions (Canada), 401K Contributions (USA)
    • Generous vacation and Parental Leave Top-up
    • Monthly home office allowance, choice of hardware, flexible hours, and remote work options
    • Corporate discount for gym membership for you and your family
    • Summer Fridays with afternoons off!
    • And a whole lot more!
Wattpad is conducting all interviews in a distributed manner using applicable third party software where needed and using visual interface tools such as Google Hangouts and Zoom.

About Wattpad

Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.
What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.
What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.
How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

Wattpad is a remote friendly company and encourages remote candidates to apply as long as they are located and authorized to work in either the US or Canada (excluding Quebec) as a precondition of employment. We are not able to sponsor applicants for work permits.

If you happen to live near the areas of either Toronto, Ontario or Halifax, Nova Scotia, you may also have the opportunity to work from our beautiful offices - 1 located in Downtown Toronto and the other in Downtown Halifax, both with easy access to transit.

Culture and Diversity

Wattpad is an equal opportunity employer. We do not discriminate. Period. 

Wattpad welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. We have taken a leadership position on creating a culture and an organization that truly values diversity. We are committed to fostering a global team that reflects the diversity of the Wattpad community. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. We consider employment applicants without regard to age, race, colour, national origin, citizenship, religion, creed, sex, sexual orientation, veteran status, marital status, disability status or any other protected status.  

If you have any special needs or accessibility requirements, please let us know. We will do our utmost to accommodate, in accordance with applicable local legislation.
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