Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • Apple, Inc.

    Machine Learning Engineer, Applied Machine Learning

    Sunnyvale, CA, United States

    • Ending Soon

    Summary Posted: Mar 18, 2024 Weekly Hours: 40 Role Number: 200541351 Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple do

    Job Source: Apple, Inc.
  • Apple

    Machine Learning Engineer, Applied Machine Learning

    Sunnyvale, CA, United States

    • Ending Soon

    Machine Learning Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could acc

    Job Source: Apple
  • Apple, Inc.

    Machine Learning Engineer

    Sunnyvale, CA, United States

    Summary Posted: May 3, 2024 Role Number: 200549813 As a machine learning engineer/researcher on the Apple Vision Pro team, you will orchestrate ground breaking artificial intelligence development and initiatives that are poised to revolutionize spatial computing! Our mission is to leverage computer vision fused with other modalities to understan

    Job Source: Apple, Inc.
  • Snap Inc.

    Machine Learning Engineer

    Palo Alto, CA, United States

    • Ending Soon

    EN.SOML.P4 Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future. Zone A (C

    Job Source: Snap Inc.
  • Helm

    Machine Learning Engineer

    Redwood City, CA, United States

    • Ending Soon

    You will: You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will: Characterize neural network quality, failure modes, and edge cases based on research data

    Job Source: Helm
  • SambaNova Systems

    Machine Learning Engineer

    Palo Alto, CA, United States

    The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite is the first full-stack, generative AI platform, from chip to model, op

    Job Source: SambaNova Systems
  • Aptos

    Machine Learning Engineer

    Palo Alto, CA, United States

    • Ending Soon

    Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission

    Job Source: Aptos
  • Ford Motor Company

    Machine Learning Engineer

    Palo Alto, CA, United States

    • Ending Soon

    At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

    Job Source: Ford Motor Company

Machine Learning Engineer

Redwood City, CA, United States

About Attain

Built for consumers and companies, alike

In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.

At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You'll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.

About the role

We are leveraging machine learning (ML) and data science-based products to take our business to the next level. To meet the growing needs of our business, we are searching for an experienced Machine Learning Engineer to enhance the development of a machine learning platform that enables data scientists and engineers across the company to easily build and deploy machine learning solutions at scale through a unified platform approach. This person will lead and experience first-hand how we transform machine learning models and algorithms into AI products for our consumers, customers and partners.

What a typical week might look like

Contribute to the development of our machine learning platform, driving for outstanding execution

Lead by example and define best practices for robust and efficient machine learning service development that includes data pipeline development and automation, model versioning, deployment, monitoring, feature store and continuous model training, etc.

Design and manage CI/CD pipeline for our machine learning product deployment

Collaborate with a cross functional team of data scientists, engineers, product managers, business stakeholders to cost-effectively deliver AI services with quality, efficiency, and security

Contribute to the machine learning engineering roadmap and priorities

Preferred Qualifications

Strong expertise in developing and deploying offline and online machine learning services in production

Solid understanding of machine learning software and infrastructure development

Proficiency in Python

Experience with cloud computing services or platform (GCP preferred)

Strong SQL skills

Familiarity with version control and peer code review systems

Demonstrated ability to learn and embrace new technologies, applications, and approaches

Willingness to roll up your sleeves and sometimes wear multiple hats across the data science team, depending on the needs of the business

Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences

We're excited to hear from you.

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn't match every detail of the job description. If we don't see something that immediately fits, we will keep your resume on file for future opportunities.

#J-18808-Ljbffr

Apply

Create Email Alert

Create Email Alert

Email Alert for Machine Learning Engineer jobs in Redwood City, CA, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.