Machine Learning Engineer II, Search at PlayStation Global

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

257900.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Python, A/B Testing, Data Analysis, Recommendation Systems, Software Engineering, Cloud Services, Tensorflow, PyTorch, MLlib, Big Data Technologies, Problem-Solving, Communication, Agile Environment, Collaboration

Industry

Entertainment Providers

Description

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Mid-Level Machine Learning Engineer, Search San Diego, CA Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML models and systems that serve an increasingly dynamic and personal experience! The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering, Product, and Business. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as search retrieval and ranking, content personalizations, and product recommendations. Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems. Create metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations. Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies. Produce reusable code and conduct peer code reviews according to standard methodologies in Python. You Bring: Advanced degree (Master’s or Ph.D.) in CS/Statistics/Data Science, specializing in machine learning. Industry work experience in designing and implementing large-scale search retrieval, ranking models. Proven track record of successfully delivering large-scale commercial machine learning products from conception to production. Experience with Python, and ideally also Scala or Java, proficient with ML frameworks such as Tensorflow, PyTorch, MLlib. Experience in developing a variety of ML models using structured and unstructured data. Industry experience in A/B testing. Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to stakeholders with limited knowledge of ML/AI. Experience with software engineering principles, modern ML tech stacks, and use of Databricks, Snowflake, Tecton, and cloud services like AWS for machine learning development and deployment. Excellent problem-solving skills, with the ability to navigate through ambiguity to drive results. Preferred Qualifications: Experience in developing personalized search systems. Experience with LLM applied in search or recommendation systems. Experience in standard methodologies in large-scale DL training/Inference. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Experience working on critical and consumer-facing ML applications. Proactive self-starter with experience working in fast-paced environments. #LI-KS1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $171,900—$257,900 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Responsibilities

Design and develop machine learning models for consumer-facing applications, focusing on search retrieval and content personalization. Collaborate with cross-functional teams to evaluate model performance and produce insights from large datasets.