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.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Apple
Sunnyvale, CA, United States
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: AppleTikTok
San Jose, CA, United States
Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imagin
Job Source: TikTokApple, Inc.
Sunnyvale, CA, United States
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.Attain
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 tool
Job Source: AttainTik Tok
Mountain View, CA, United States
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users
Job Source: Tik TokAdobe
San Jose, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeAdobe
San Jose, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeDice
Menlo Park, CA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Meta Platforms, Inc. (f/k/a Facebook, Inc.), is seeking the following. Apply via Dice today! Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Machine Learning Engineer: Research, design, develop, and test o
Job Source: DicePalo Alto, CA, United States
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. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries.
Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build.
About The Role
We are searching for an experienced Machine Learning Engineer to join our team. Aptos recently entered a partnership with Microsoft to explore the opportunities between Web3 and AI. You will be responsible for exploring opportunities within this space. This includes our current efforts in building AI-driven chatbots that teach people about development on Aptos and empower them to query on-chain state. You will explore the collaboration between AI and blockchain. Beyond that, we’re excited to explore co-development or co-piloting experiences and building products with our product teams. We are looking for a bold thinker who has the ability to execute well; in return, you will receive a lot of autonomy and ownership over the projects you tackle.
This role sits in our Palo Alto, CA office.
What you'll be doing:
Build best-in-class AI chatbots that guide users through their Aptos journey by translating our research papers, blogs, and technical documentation into more accessible content
Improve and optimize LLMs for use in production systems
Define, build, and deliver data pipelining architecture for AI-driven applications.
Work with the product teams to explore opportunities for AI-driven experiences.
Work with platform and language development teams to build a first-in-class Move language and Aptos Dapp co-pilot experience.
What we’re looking for:
8+ years of relevant experience
A degree in a technical field such as Statistics, Computer Science, or similar field
Strong data wrangling and SQL skills. You have a track record of optimizing large pipelines to run very efficiently
Experience in at least one programming language (e.g. Python, Scala, Java)
Experience manipulating large amounts of structured and unstructured data through pipeline development tools like Airflow
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage
The base salary range for this full-time position is $160k - $260k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits.
100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees)
Equipment of your choice
Flexible vacation time, 11 holidays, and floating company days off
Equity (RSUs)
401k matching (US Employees)
Fun and inclusive in-person and digital events
Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need.
Subscribe to the DAOmatch Newsletter for the latest DAO job opportunities.
#J-18808-Ljbffr
Email Alert for Machine Learning Engineer at Aptos jobs in Palo Alto, 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.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.