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Machine Learning Engineer II, Search
Machine Learning Engineer II, SearchPlayStation Network • San Diego, CA, United States
Machine Learning Engineer II, Search

Machine Learning Engineer II, Search

PlayStation Network • San Diego, CA, United States
7 days ago
Job type
  • Full-time
Job description

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

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 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.
  • 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.

    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.

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    Have you ever worked for a Sony company previously?

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  • Are you authorized to work in the United States?

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  • Will you now, or in the future, require sponsorship to work in the United States?

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  • Will you need relocation assistance to work at this role's specified location?

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  • Are you related to, or in a close personal relationship with, anyone who currently works for SIE or any SIE-affiliated studios? (This includes spouses, domestic partners, and significant others.)

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  • If yes, please state their name, the department or studio they work for, and their job title (if you know it).

    Do you have at least one year of industry experience with search retrieval, ranking, or other similarity matching systems?

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  • US Voluntary Demographic Question

    Voluntary Self-Identification

    Our vision at PlayStation is to bring out the best in our global team members by creating a sense of belonging, being a place where they can grow, and ensuring everyone feels valued, heard, and supported so we can push the boundaries of play. That vision begins our candidates, and we are working to better understand the diversity of our candidate population.

    This data will also be aggregated and sent to the government for reporting purposes. Please know that the completion of this form is entirely voluntary. Your personally identifiable information (name, address, etc) will not be considered in the hiring process or thereafter. Any information that you choose to provide will be recorded and maintained in a confidential file for time.

    Protected Veteran

    You are a protected veteran under United States law if any of the following apply to you :

  • Disabled Veteran : a veteran of the U.S. military who is entitled to compensation under the administration of the Secretary of Veterans Affairs and / or a person who was discharged or released from active duty because of a service-connected disability.
  • Recently Separated Veteran : a veteran who has discharged or released from active duty in the U.S. military within the last three years.
  • Armed Forces Service Medal Veteran : a veteran who, while serving on active duty in the U.S. military, participated in a U.S. military operation for which an Armed Forces Service Medal was awarded pursuant to Executive Order 12985.
  • Disability

    Under U.S. law, you are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

    Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and will not be seen by selecting officials or anyone else involved in making personnel decisions, nor will it be shared with our accommodations team. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past.

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