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PlayStation
San Diego, CA, United States
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 Stu
Job Source: PlayStationQualcomm
San Diego, CA, United States
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. Qualcomm’s Cloud AI 100 accelerators are
Job Source: QualcommSan Diego, CA, United States
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years
Job Source: GoogleAMD
San Diego, CA, United States
WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinn
Job Source: AMDHP
San Diego, CA, United States
Machine Learning Engineer Description - Job Description You are out to reimagine and reinvent what is possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what is next. We are in search of talented people who are inspired by big challenges, driven to learn an
Job Source: HPUnlimit Ventures
San Diego, CA, United States
Please note - this is an evergreen role As a Machine Learning Engineer, you will play a critical role in developing cutting-edge models and algorithms that transform data into actionable insights. You will collaborate with cross-functional teams, work on challenging projects, and work building one of our new exciting products in the environmental
Job Source: Unlimit Venturescareer
San Diego, CA, United States
About RapidFire AI RapidFire AI is a cutting-edge deep tech startup specializing in scaling Machine Learning solutions. We are dedicated to empowering customers to effortlessly scale their AI workloads, ensuring they stay at the forefront of innovation in their industries. About the Role We are seeking a highly motivated and skilled Machine Learni
Job Source: careerDigital Force Technologies
San Diego, CA, United States
Job Description Job Description Digital Force Technologies (DFT) Machine Learning Engineer What We Do: Digital Force Technologies (DFT) is a defense technology provider with a 20-year history of developing and fielding advanced sensor systems, force protection solutions, and tactical surveillance products. DFT’s extensive history of innovation,
Job Source: Digital Force TechnologiesSan Diego, CA, United States
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 Corporation.
ML Software Engineer
Sony Interactive Entertainment’s (SIE) Global Payment, Fraud Management and Decision Science (GPFD) teams are the guardians of both customer trust and purchase success for PlayStation and the PlayStation Network (PSN). We provide innovative solutions to support every element of the network, various platform services, customer service teams, a diverse developer community, and more.
GPFD runs a next generation risk platform and machine learning framework that support the global, fast growing PlayStation Network customer base, world class PlayStation consoles, and network entertainment services such as PlayStation Plus and PlayStation Now. In doing so, the ability to extract information from data and drive action that help achieve business goals is essential. GPFD’s data science team is responsible for evaluating online user activity data for potential fraud and revenue optimization across this platform, and the engineering team empowers them. We are looking for an engineer to join our GPFD team to support this data science platform.
The position is a hands-on engineering role with a wide range of responsibilities to evolve and support a machine learning pipeline. You should be intimately familiar with running applications at scale on modern cloud architectures using containerized and serverless workflows. You must be a self-motivated individual and take pride in delivering high-quality work within a fast-paced, dynamic environment.
Responsibilities
Create, deploy, and maintain cloud solutions using AWS
Build core infrastructure around data streaming and enhancement
Build and enhance our machine learning pipeline to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of ML models
Ensure all work is deployed in an automated, repeatable fashion
Ensure highest levels of service availability
Qualifications and Education Requirements:
Bachelor’s degree and 2-5 years of related experience
Demonstrated experience with Java and Python
Competency with most common AWS Services - EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, SQS, and more
Knowledge in systems monitoring, alerting and analytics including using tools such as DataDog, Splunk, New Relic, AWS CloudTrail, etc.
General knowledge in Linux
Strong communication abilities to work with cross functional teams
Experience with orchestration and management of containers using Kubernetes or similar.
Preferred Skills:
AWS certification
Basic knowledge of data science and data science workflows
Experience with streams/queues at internet scale – Kinesis/Kafka/ActiveMQ/SQS
Experience successfully implementing data pipelines
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.
$127,400 — $191,000 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 or maternity, 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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Email Alert for Machine Learning Software Engineer jobs in San Diego, CA, United States
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