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As a staff software engineer on the Banking server engineering team, you will lead the overall technical strategy of the team, through close collaboration across teams and disciplines. Paid Life insurance, AD&D, and disability benefits.
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At Amphenol RF, you can expect a competitive salary and comprehensive benefits (medical, dental, vision, matching 401K, FSA, employer-paid life insurance), favorable work/life balance, a generous PTO allowance and paid holidays, an engaging and collaborative work environment, numerous opportunities for career growth, and an entrepreneurial focus that encourages employees to chart their own paths.
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By integrating this data with our online systems, we empower multiple business lines, drive critical machine learning models, and fuel fast-paced experimentation. DoorDash cares about you and your overall well-being, and that's why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
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GoodRx also offers additional benefits like mental wellness and financial wellness programs, fertility benefits, generous parental leave, pet insurance, supplemental life insurance for you and your dependents, company-paid short-term and long-term disability, and more.
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8+ years of experience in the field as a software engineer with a significant portion of that experience dedicated to backend development for large-scale systems. Generous medical, dental, vision, STD, LTD, and life insurance.
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Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon.
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Experience with Next Generation Sequencing (NGS) technologies such as single-cell RNA seq. Your responsibility is to interface between the customer and BioLegend to enable researcher success and facilitate discovery.
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Develop machine learning software and statistical data models that can generalize across hundreds of thousands of Salesforce customers, but can automatically adapt to each of their individual features.
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Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more.
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We are looking for experienced, generalist battery systems engineers to drive the successful integration of Zitara’s battery design and management software into customer applications. Integrate Zitara software into new compute platforms embedded within customer battery systems.
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We are looking for a Software Engineer to join the team that develops and maintains the execution engine and in-memory scene representation at the heart of Presto. Contribute to world-class 3D graphics software applications and frameworks that enable and support Pixar’s film production.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Rakuten Rewards seeks a Senior Backend Software Engineer to join our rapidly growing engineering team. We expect Rakuten employees to model these 5 Shugi Principles of Success. Always improve, Always Advance - Only be satisfied with complete success - Kaizen.
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