Mid-Level Machine Learning Engineer ...

Enclustra
London
2 weeks ago
Applications closed

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PlayStation isn’t just the Best Place to Play — it’salso the Best Place to Work. Today, we’re recognized as a globalleader in entertainment producing The PlayStation family ofproducts and services including PlayStation5, PlayStation4,PlayStationVR, PlayStationPlus, acclaimed PlayStation softwaretitles from PlayStation Studios, and more. PlayStation also strivesto create an inclusive environment that empowers employees andembraces diversity. We welcome and encourage everyone who has apassion and curiosity for innovation, technology, and play toexplore our open positions and join our growing global team. ThePlayStation brand falls under Sony Interactive Entertainment, awholly-owned subsidiary of Sony Corporation. Mid-Level MachineLearning Engineer Do you want to join a Machine Learning teamcommitted to personalizing the PlayStation experience for hundredsof millions of users? The work we do delivers impactful insights tobuild an increasingly dynamic and interactive experience! TheMachine Learning Engineers within the platform engineering groupwill deliver optimized interactions across PlayStation experiencesand systems by designing, coding, training, documenting,cost-effectively deploying and evaluating very large-scale machinelearning systems. We are looking for someone who can builddelightful products and experiences for millions, in an agileenvironment, collaborating with teams across Engineering andProduct. Further, you will be immersed in groundbreaking MLtechnologies, tools and processes, as you help to advance ourtechnical objectives and architectural initiatives. You Will: -Design and develop various machine learning and deep learningmodels and systems for high-impact consumer-facing applicationssuch as content personalizations and product recommendations. -Work with a broad spectrum of state-of-the-art machine learning anddeep learning technologies, in the areas of recommendation systems.- Create metrics and configure A/B testing to evaluate modelperformance offline and online to inform and convey our impacts todiverse groups of stakeholders. - Collaborate with cross-functionalteams of technical members and non-technical members inarchitecture, design and code reviews. - Analyze and produceinsights from a large amount of dynamic structured and unstructureddata using modern big data and streaming technologies. - Producereusable code according to standard methodologies in Python. YouBring: - Masters degree in CS/Statistics/Data Science, with aspecialization in machine learning or equivalent experience. -Experience with Python, and ideally also Scala or Java. -Experience in developing ML models for structured data, and ideallyalso unstructured data. - Industry work experience in designing andimplementing large-scale machine learning-based solutions thatideally include: recommender systems, personalization, and A/Btesting. - Strong machine learning and statistical knowledge.Preferred Qualifications: - Proficient with Machine learningframeworks such as Tensorflow, PyTorch, MLlib. - Experience withDatabricks, Spark, Tecton, Kubernetes, Helm, Jenkins. - Familiaritywith standard methodologies in large-scale DL training/Inference. -Experience with reducing model serving latency, memory footprint. -Experience in cloud-based environments, such as AWS. - Experienceworking with custom ML platforms. Equal Opportunity Statement: Sonyis an Equal Opportunity Employer. All persons will receiveconsideration for employment without regard to gender (includinggender 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 orparental status, trade union membership or membership in any otherlegally protected category. We strive to create an inclusiveenvironment, empower employees and embrace diversity. We encourageeveryone to respond. PlayStation is a Fair Chance employer andqualified applicants with arrest and conviction records will beconsidered for employment. #J-18808-Ljbffr

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