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Senior Software Engineer, Applied AI

Luminai LogoLuminai


Date Posted

21 Oct, 2024

Work Location

United States

Salary Offered

$170000 — $250000 yearly

Job Type

Full Time

Experience Required

No experience required

Remote Work

Allowed

Stock Options

No

Vacancies

1 available


About Luminai

Nearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things.

At Luminai ,  we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal.

We've raised a Series-A round led by General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.

About the role

As a Software Engineer working on AI systems, you will play a foundational role in research, experimentation and rapid improvement of AI systems towards building a capable, reliable AI automation platform. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. You are expected to have a strong proficiency in fundamentals of software engineering, a willingness to pick new concepts as needed and an ability to drive technical projects in ambitious environments.

You might work on

  • Design experiments and test ideas to optimize key internal AI benchmarks
  • Design and improve evaluation frameworks to accelerate the speed and direction of experimentation
  • Train, fine-tune, and optimize machine learning models. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance.
  • Collaborate and contribute on the core product development to deliver higher platform capabilities
  • Setup up observability and monitoring systems to safety check model behaviour in critical settings

Things we're looking for

  • Proven track record of shipping high-quality code in challenging projects
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
  • Solid fundamentals in algorithms, data structures, system design
  • Attention to detail and a first-principals thinking towards real world deployment of intelligent systems.

Bonus Points

  • Proficiency in C++
  • Previous experience working with distributed computing systems in production

Benefits & Perks:

  • Comprehensive health care benefits (medical, dental, vision)
  • Flexible time off + 9 paid company holidays
  • Financial planning support (401K, HSA, FSA)
  • 12 weeks primary-caregiver parental leave; 6 weeks secondary-caregiver parental leave
  • Stipends for mental and physical wellness

Luminai is an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse workplace where all employees are respected and valued. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We encourage applications from all qualified individuals and believe that diverse perspectives and experiences strengthen our team and enhance our ability to serve our customers.

About Luminai

Luminai Logo

Company Size: 11 - 50 People
Year Founded: 2020
Country: United States

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