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AeroVironment
, CA, United States
Worker Type Regular Job Description Summary The Machine Learning Engineer I will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused des
Job Source: AeroVironmentPlayStation
Los Angeles, CA, United States
Why PlayStation? PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today, were 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
Job Source: PlayStationZefr
, CA, United States
What We Do Zefr is the global leader in brand suitability targeting and measurement across the world’s largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alli
Job Source: ZefrAcceler8 Talent
, CA, United States
About Us At our dynamic startup, we're at the forefront of the rapidly evolving field of data-centric AI. Backed by a team of prominent researchers from MIT, we utilize the latest advancements in technology to create cutting-edge tools that enable users to diagnose and resolve issues in their datasets effectively. Our modern tech stack ensures that
Job Source: Acceler8 TalentDeepRec.ai
, CA, United States
Job Title: Machine Learning Engineer Location: San Francisco Salary: 240K + Equity Visa: Sponsorship Available Responsibilities: Work with large video datasets to develop and implement machine learning models. Optimize and debug neural networks for efficient performance. Scale up training processes to handle large datasets effectively. Process
Job Source: DeepRec.aiBioTalent
, CA, United States
Machine Learning Engineer - Revolutionize MRI Scanning Shape the future of medical imaging with cutting-edge machine learning and computer vision! We're on a mission to unlock the full potential of MRI scanning by simplifying the process and increasing its power. Our FDA-cleared platform automates MRI data collection, boosting efficiency and consis
Job Source: BioTalentGauntlet
Los Angeles, CA, United States
Gauntlet is DeFi’s risk manager. We drive capital efficiency while maintaining economic safety for some of the largest crypto protocols with our simulations. Gauntlet manages risk and incentives for over $9 Billion in assets. Gauntlet continuously publishes cutting-edge research, making us the most cited peer-reviewed articles in the DeFi industry.
Job Source: GauntletSapling
Los Angeles, CA, United States
ML/NLP/deep learning expertise. Strong engineering background with end-to-end ownership of projects. You will: Have critical impact on Sapling growing its set of enterprise customers. Build components of the data, pre-processing, training, evaluation, and guardrail pipeline for Transformer models. Work closely with the founders. Have a flexibl
Job Source: Sapling, CA, United States
City: LA/ Seattle. The team works in West Coast Hours 9 - 5 PST.
Duration: 24 months
Rate Range: $ 114/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except H1b
Description:
Ad Platforms organization is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of online properties. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. The Ad Platform Research team is under Ad Platforms and its mission is to transform advertising and Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenet is to build a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a lead machine learning engineer who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive, inquisitive, and innovative in either these domains, this is a phenomenal role for you.
WHAT YOU’LL DO:
● Drive ground-breaking innovation and apply state of the art machine learning statistics or analytics in a variety of areas to boost platform in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisioning, and efficient ad delivery.
● Invent and iterate novel solutions to challenging ad related problems in fast turn around
● Develop scalable and efficient methods for large scale data analysis and model development.
● Build and experiment brand new algorithms and models e2e throughout production rollout and continuous optimization.
● Collaborate with engineering teams, program managers, and product managers in an open, and creative environment.
● MS or PhD in computer science or EE
● 4+ years of working experience on machine learning, and statistics in leading internet companies. Experience in the advertising domain is preferred.
● Solid understanding on ML technologies, mathematics and statistics.
● Proficient with Java, Python, Scala, Spark, SQL, large scale ML/DL platforms and processing tech stack.
● Passion to understand the ad business and apply accurate research study according to the business scenario, and seek innovation opportunities to enhance business effectiveness
● Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.
● Proven track record of thriving in a fast-paced, data-driven, collaborative and iterative applied research environment is required
● Mentor team members, and guide their technical development
NICE-TO-HAVES:
● Experience in digital video advertising or digital marketing domain
● Experience with feature store, audience segmentation and MLOps
● Experience with PyTorch, Tensorflow, Kubeflow, Sagemaker or Databricks.
Required Education:
BA/BS Degree
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Machine Learning Engineer jobs in , CA, United States
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