Machine Learning Engineer (Finance)

Team Name:
Global Insights

Job Title:
Machine Learning Engineer

Requisition ID:
R025273

Job Description:

It takes a Blizzard to make a Blizzard game, and that level of effort doesn't end once the game is released; we support our games for years after they're in the hands of gamers worldwide. Global Insights works closely with the game development, business, and internal service teams at Blizzard to produce insights and models that enable us to make the most epic player experiences. The machine learning & Artificial Intelligence(ML&AI) group within Global Insights focuses on applying the latest in key research areas to build lasting data products and tools for our game development and business teams.

We are looking for a Machine Learning Engineer to help us advance ML and AI capabilities at Blizzard. This role will work with data scientists to design and deploy data-powered products and services that scale to the daily terabytes of data that Blizzard games generate. The ideal candidate is passionate about applying machine learning, artificial intelligence, and statistics to real-world problems; has experience in deploying and serving machine learning models with strong programming skills.

Responsibilities

• Develop services, databases, and interfaces for serving ML and AI solutions and applications
• Work closely with software engineers to deploy ML and AI services seamlessly into production systems
• Collaborate with data scientists to optimize model development and system deployment, including recommendation systems, reinforcement learning AI, computer graphics models, and machine learning models

Minimum Qualifications

• 1+ year work experience with an advanced degree in Computer Science, Engineering, or a related domain
• Practical knowledge of machine learning models in at least one of the following areas: deep learning, reinforcement learning, recommendation systems, computer graphics, or generative modeling
• Experience in developing and deploying machine learning models and algorithms
• Proficient in Python and experienced in at least one other higher-level programming language like Java, C++, C#, Scala, etc.

Preferred Qualifications

• Experience with training machine learning models in frameworks like TensorFlow, PyTorch, or JAX
• Knowledge of designing, developing, and deploying machine learning models at scale
• Experience with containers, Kubernetes, workflow management, and infrastructure management tools
• Knowledge of cloud computing services like Google Cloud, Azure, or AWS (Amazon Web Services)
• Experience with one or more model monitoring/registry systems like Vertex AI, Tensorboard, MLFlow, Weights & Biases, etc.

The Global Insights team prides itself on its commitment to a healthy, positive work-life balance and mentorship opportunities at every level. In addition to trying to ensure a balanced workload, the team will provide regular opportunities for social functions to get to know fellow team members and take a break. We prioritize mental wellness and physical well-being for all our team members. We offer a robust mentorship program that aims to help employees on career development within their role and provides an opportunity to build rapport with other team members. Mentorship is just one facet of a strong emphasis on growth opportunities for new team members. We are strongly committed for team members to have opportunities to look forward to.

Our World

At Blizzard Entertainment, we pour our hearts and souls into everything we create. Best known for iconic video game universes including Warcraft, Overwatch, Diablo, and StarCraft, we've been creating genre-defining games for millions of players around the world for more than 30 years. We're on a quest: bring our dreams to life and craft the most epic entertainment experiences...ever. Hard work, iteration and polish go into the Blizzard "secret recipe," but the most important ingredients come from talented people who share our vision. If that sounds like you, join us .

The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners .

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics.

Rewards

We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:

• Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
• 401(k) with Company match, tuition reimbursement, charitable donation matching;
• Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
• Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
• If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.

Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting https://www.benefitsforeveryworld.com/ .

In the U.S., the standard base pay range for this role is $77,500.00 - $143,376.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.