Data Scientist, Machine Learning

Feb 12

About The Role

We are searching for an experienced Data Scientist with a focus on Machine Learning 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)
  • 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.

Listed in: Crypto Jobs, Research Web3 Jobs, Content Crypto Jobs, Full Time Crypto Jobs, Web3 Web3 Jobs, Python Crypto Jobs, Data Crypto Jobs, Move Web3 Jobs, Machine Learning Web3 Jobs.

Data Scientist, Machine Learning at Aptos: FAQ

Where is the Data Scientist, Machine Learning role at Aptos based?

The Data Scientist, Machine Learning role at Aptos is based in Palo Alto. Check the job description for any remote or hybrid options.

What skills are required for the Data Scientist, Machine Learning role at Aptos?

This Data Scientist, Machine Learning role is associated with the following skills and technologies:

  • Research
  • Content
  • Full Time
  • Web3
  • Python
  • Data

Read the full job description above for the complete list of requirements.

Is the Data Scientist, Machine Learning role at Aptos full-time or contract?

Aptos is hiring this Data Scientist, Machine Learning as a full time position.

How do I apply for the Data Scientist, Machine Learning role at Aptos?

You can apply for the Data Scientist, Machine Learning role at Aptos directly on this page using the Apply button. Palo Alto candidates are welcome. Applications submitted through CryptoJobsList reach the employer directly.

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