This job might no longer be available.
Engineering Manager - Machine Learning
1 year ago
Position Overview
Interested in creating great products that impact millions of people? Building high-performance systems that rely on big data and machine learning? Want to solve complex large-scale technical problems using the latest technologies? Zynga is seeking a Technical Lead to join the Machine Learning Engineering team in our Analytics organization based out of our Toronto office!
Zynga is one of the world’s largest mobile video game developers with over 65 million monthly active users. The ML Engineering team continues Zynga’s tradition of using analytics technologies to enhance our games. ML Engineers develop and maintain the ML platforms for our Data Scientists to productionize their ML workflows and deal with large volumes of data. ML Engineers also develop ML applications for our games. While ML Engineers apply their work to ML-specific applications, we use standard techniques and technologies for big data infrastructure and large-scale production services.
RESPONSIBILITIES:
Lead a talented team of 4-6 engineers in building and maintaining large scale ML services
Develop and maintain ML platforms for Data Scientists to use
Keep up to date with advances in ML technologies and techniques
Help drive the vision and direction of ML strategy within Zynga
MINIMUM QUALIFICATIONS:
B.S. in Computer Science or related field or equivalent experience
1+ Years of experience managing machine learning team
Knowledge and production experience of ML and programming language such as Go or Python
5+ Years of experience working in software engineering roles
Solid foundation in basic computer science fundamentals and Programming skills.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, documentation, and operations
Preferred Qualifications:
6+ years of production experience in software development with 2+ years in building ML applications
Experience as an Engineering manager for 1+ years
Programming Languages: Python, Go
Data Technologies: SQL, Spark, NoSQL Databases
Cloud Infrastructure: AWS
Deep Learning libraries like Tensorflow/PyTorch
ML Libraries like XGBoost, SciKit etc.
Building/maintaining large scale production services
Experience developing production ML models
Background in ML/Stats theory
Experience or background in Reinforcement Learning is a plus
Exhibits strong software development qualities including the ability to drive creative and innovative solutions to complex problems, good technical judgment.
Excellent communication skills, and the ability to work effectively with others in a team environment
WHAT WE OFFER YOU:
Work in a studio that has complete P&L ownership of games
Competitive salary, discretionary annual bonus scheme and Zynga RSUs
Full medical, accident as well as life insurance benefits
Catered breakfast, lunch and evening snacks
Child care facilities for women employees and discounted facilities for male employees
Well stocked pantry
Generous Paid Maternity/Paternity leave
Employee Assistance Programs
Active Employee Resource Groups – Women at Zynga
Frequent employee events
Additional leave options for most employees
Flexible working hours on many teams
Casual dress every single day
Work with cool people and impact millions of daily players!
If posting remote US, please include the following :
**Remote work from an alternate location could be considered**
HIRING UPDATE: The safety of our candidates and team members is our top priority. During the COVID-19 pandemic, our workforce transitioned to working from home, with all interviewing and onboarding being conducted virtually until further notice.
We are an equal opportunity employer and we are committed to building a diverse and talented workforce. We do not discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome job-seekers, players, employees, and partners from all backgrounds to join us!
We will consider all qualified job-seekers with criminal histories in a manner consistent with applicable law.
We are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at AccommodationRequest@zynga.com to request an accommodation associated with your application for an open position.
Zynga does not engage in financial exchanges during the recruitment or onboarding process. We do not conduct job interviews over third-party messaging apps such as Telegram, WhatsApp or others. We will never ask you for your personal or financial information over unofficial chat channels. Our in-house recruitment team only contacts individuals via official company email addresses (i.e., via a zynga.com or naturalmotion.com email domain).
If you believe you have been the victim of a scam, you may wish to contact the authorities. In the United States, you may file a complaint with the FBI. More information is available here: https://www.ic3.gov.
Create Your Profile — Game companies can contact you with their relevant job openings.