Full-Time

Staff Machine Learning Engineer

Posted on 11/12/2024

Sony Interactive Entertainment

Sony Interactive Entertainment

501-1,000 employees

Gaming and digital media

Senior, Expert

London, UK

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
LLM
Python
Data Science
Tensorflow
Pytorch
Apache Spark
Machine Learning
Java
AWS
Scala
Natural Language Processing (NLP)
Computer Vision
Reinforcement Learning
Google Cloud Platform

You match the following Sony Interactive Entertainment's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Advanced degree (Master’s or Ph.D.) in CS/Statistics/Data Science, specializing in machine learning or equivalent experience.
  • Strong programming skills in languages such as Python, Java, or Scala, with proficiency in machine learning libraries and frameworks like TensorFlow, PyTorch, Mlib, and others.
  • Proven track record of successfully delivering large-scale commercial machine learning products from conception to production, in technical leadership roles.
  • Expertise in a variety of machine learning and AI techniques, such as supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision.
  • Experience with the latest industry knowledge in Generative AI technology with the ability to formulate GenAI specific use cases and implementations that are optimized for cost and scalability.
  • Experience with software engineering principles, big data stacks such as spark, and use of cloud services like AWS, or GCP for machine learning development and deployment.
  • Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to stakeholders with little prior-knowledge on ML/AI.
  • Excellent problem-solving skills, with the ability to navigate through ambiguity to drive results.
Responsibilities
  • Lead the design, develop and deploy various machine learning and deep learning models and systems for high impact consumer and enterprise applications ranging from content and experience personalizations, search ranking, online safety, to AI agents, operation automation, decision optimization and more.
  • Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of recommendation systems, natural language processing, reinforcement learning, time series forecasting, as well as generative AI such as LLMs.
  • Architect and lead the implementation of the full machine learning development cycle, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment, and conduct rigorous testing and validation to ensure accuracy, efficiency, and scalability.
  • Mentor and guide junior machine learning engineers, providing technical leadership and fostering a culture of continuous learning and improvement.
  • Stay current with the latest advancements in machine learning and AI research and technology, and integrate relevant innovations into our products and services.
  • Work as ML/AI technical lead in complex product development effort, interfacing and collaborating with leaders from cross-functional teams, and representing ML/AI team in communication with key stakeholders and/or senior leadership.
  • Thought-lead and influence technology strategy and product roadmap through ML/AI lens, contributing into the development and execution of overall ML/AI strategy.
Desired Qualifications
  • Experience in building and maintaining large scale online customer-facing microservices
  • Experience with large scale unstructured data (e.g., audio, images, documents, etc.) manipulation and processing
  • Contributions to the machine learning community through publications, open-source projects, or presenting in conferences and workshops.
  • Experience working with custom ML platforms for continuous integration, deployment, and monitoring of machine learning models.
  • Familiarity with ethical considerations and best practices in machine learning, including fairness, accountability, and transparency
Sony Interactive Entertainment

Sony Interactive Entertainment

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The Sony Playstation mission is to fill the world with emotion, through the power of creativity and technology, and to nurture innovation to enrich and improve people's lives.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

1994

Benefits

Health and wellness: Medical (PPO, HDHP, and HMO), dental, vision, disability, employee assistance program, flexible spending accounts, health savings account, student loan repayment assistance, education reimbursement program, wellness reimbursement, identity theft protection, basic and voluntary life and AD&D insurance, business travel accident insurance, 4.5% 401(k) match, commuter program, additional voluntary programs (group legal, pet insurance, auto and home insruance), onsite flu shots and biometric screenings

Family and time off: 12 paid holidays, generous PTO, paid parental leave, adoption assistance program, 529 college savings plan match, back-up child care, parental and elder care coaching

Perks: Sony product discounts, passport perks program, monthly $10 Playstation Network voucher, employee referral bonus, game launch events

INACTIVE