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Senior machine learning engineer

Dublin
PlayStation Network
Machine learning engineer
€80,000 - €100,000 a year
Posted: 19 July
Offer 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 PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, 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.

Senior Machine Learning Engineer

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:

* Lead junior engineers, 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.
* Collaborate with technical and non-technical stakeholders to seed new projects or expand existing ones, using a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of Recommendation Systems and Search.
* Create metrics and design A/B test plans to evaluate model performance offline and online.
* Collaborate with cross-functional teams of software engineers, QA engineers, data engineers, and product managers in gathering product requirements, architecture design, and code reviews.
* Produce insights from a large amount of dynamic structured and unstructured data (text, audio) using modern big data technologies.
* Produce reusable code according to standard methodologies in Python, conduct rigorous testing and validation to ensure accuracy, efficiency, and scalability.
* Thought-lead and influence technology strategy and product roadmap through ML/AI lens, contributing into the development and execution of overall ML/AI strategy.

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.

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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Question: Stay Connected for Future Opportunities ?

Thank you so much for considering a role with us! Should this position not be the perfect fit right now, we would be excited about the chance to explore future opportunities with you. By selecting "Yes," you’ll allow us to keep your details on file for the next 24 months. This means we can reach out to you about other exciting roles that may fit your skills and interests as they come up. We’re eager to stay connected!

We take your privacy seriously and will ensure your information is securely stored and used only for recruitment purposes, as outlined in our (Candidate Privacy Notice ). Please take a moment to review it for more details.

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UK Diversity & Inclusion - Voluntary Equal Opportunity Monitoring

Sony Interactive Entertainment Europe Limited (‘SIEE’) is committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Collecting diversity data is intended to help SIEE maintain equal opportunities best practice and identify barriers to workforce equality and diversity. Please read this notification and consent before you decide whether to submit your diversity data in the survey below.

SIEE will treat all survey responses in the strictest confidence, and our personnel with decision-making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual applicants. There is no obligation on you to provide diversity data, SIEE will treat all applicants the same regardless of whether they provide diversity data or not, and any responses to the survey will not affect our decision on your application.

You can withdraw your consent at any time. The withdrawal of your consent does not affect the lawfulness of the processing of your diversity data based on your consent before its withdrawal.

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