Software Engineer, NLP/Machine Learning

Reposted 22 Days Ago
Be an Early Applicant
2 Locations
In-Office
150K-300K Annually
Mid level
Artificial Intelligence • Database • Analytics • Business Intelligence • Generative AI
Let data drive your decisions, better.
The Role
The role involves developing workflows for analytical tasks, designing evaluation frameworks, and collaborating on product and engineering roadmaps.
Summary Generated by Built In

About Wisdom
WisdomAI has the mission to provide access and insights from data to everyone. We believe in the power of data to drive better decisions and we believe with Generative AI, there is an opportunity to bring a disruptive change in how employees access insights within their organization. This is a great time to join the company as we have multiple Fortune 100 companies as paying customers and still are early enough that you will get to define a lot of the product/engineering roadmap.

Role
We are looking for exceptional ML/NLP engineers to join our team. We are working on fundamental problems in LLM based code-generation, document understanding, context synthesis and LLM based agents. Our team consists of experts from companies like Glean, Apple, Rubrik, Google and Meta.

Job responsibilities

  • Build workflows/agentic pipelines for complex analytical workloads.
  • Design evaluation framework and carry out evaluations of our query processing engine.
  • Work closely with customers and founders to define the product and engineering roadmap.
  • Shape up the engineering culture and tech stack for the company.

Qualifications

  • Strong analytical skills and proven ability to work with hard NLP problems.
  • Background in search/retrieval, LLMs, and evaluation pipelines is plus.
  • Experience working in startup/fast paced teams is highly desirable.
  • Bachelor's or Master's degree in Computer Science or related field.

Top Skills

Llms
Machine Learning
Nlp
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The Company
HQ: San Mateo, CA
42 Employees
Year Founded: 2023

What We Do

At WisdomAI we believe data drives decisions, better. We’re putting data insights at the fingertips of every employee.

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