Senior, Machine Learning Engineer

Key Skills

Aartificial intelligence, Algorithms, AWS, Azure, C Programming, C++, Cloud computing, Computer Graphics, Containerization, Data Modeling, Data science techniques, Database, Deep Learning, Design, Framework, Generative AI, Google Cloud Platform (GCP), Infrastructure as code, Java Programming, JAX framework, Kubernetes-K8s, Language modeling, Large scale deployment, Machine learning techniques, Management, Mentoring, MLflow, NoSQL, Optimization, Product Development, Python Programming, PyTorch, Recommendation Systems, Reinforcement Learning, Scala Programming, Software Development, SQL, Statistics, TensorFlow, VertexAI

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 world-wide. 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 capability at Blizzard. This role will work with data scientists to design and deploy data-powered products and services that scale to the terabytes of data that Blizzard games generate every day. 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 products
• 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, language models, and machine learning models

Minimum Qualifications

• Has 3+ years work experience with advanced degree in Computer Science, Engineering, or related domain
• Advanced knowledge in designing, developing, and deploying machine learning models at scale
• 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
• Hand-on experience with containers, Kubernetes, workflow management, and infrastructure management tools
• Proficient in Python and experienced in at least one other higher-level programming language like Java, C++, C#, Scala, etc.

Preferred Qualifications

• Experience in training machine learning models in frameworks like TensorFlow, PyTorch, or JAX
• Experience in optimizing and deploying machine learning models and algorithms
• Experience with cloud computing services like Google Cloud, Azure or AWS (Amazon Web Service)
• Experience with one or more model monitoring/registry system like Vertex AI, Tensorboard, MLFlow, Weights&Biases, etc.
• Experience with SQL or NoSQL databases

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 wellbeing within all our team members. We offer a robust mentorship program which 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.

Blizzard Entertainment is a global company committed to growing our employees along with the business. We offer generous benefits and perks with an eye on providing true work / life balance. We’ve worked hard to foster an intensely collaborative and creative environment, a diverse and inclusive employee culture, and training and opportunity for professional growth. Our people are everything. Our core values are real, and our mission has never changed. We are dedicated to creating the most epic entertainment experiences…ever. Join us!

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.

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 $101,000.00 - $186,754.00 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.