Founding Engineer, Machine Learning

4 weeks ago

Palo Alto, United States Lanai Full time
About Lanai

Lanai Software is at the forefront of the GenAI revolution, empowering humans to achieve the extraordinary in the age of AI. Lanai's AI platform empowers large organizations and employees to discover, protect, and accelerate AI adoption, fostering innovation and unlocking unprecedented productivity. Backed by top investors, we're creating a world where everyone can confidently leverage GenAI at work.

At Lanai, we're not just building software; we're crafting a culture of excellence and innovation. Our values shape our work:
  • Curiosity: We continuously learn, question, and share knowledge.
  • Community: We embrace diversity and unite in purpose.
  • Commitment: We maintain high standards and follow through on our promises.
  • Clarity: We communicate openly and make decisions efficiently.
We move fast, prioritize delivering true customer value, and strive to earn and maintain trust with the people we serve and each other. As part of Lanai's founding team, you'll embody these values and help shape the future of work in the AI era.

The Impact You'll have

We're looking for an ML and Data Science Engineer to help build the world's best enterprise AI platform that enables humans to do the extraordinary. At Lanai, we're creating an intelligent and magical experience for users by applying cutting-edge technologies to challenging, open problems in the field of generative AI. As a key member of our team, you'll be at the forefront of innovation, working on exciting challenges such as LLM applications, Natural Language Understanding (NLU), domain adaptation, question answering, semantic search, and many more. Your expertise will be crucial in shaping the future of our platform, ensuring it remains at the cutting edge of AI technology while maintaining the highest standards of security, visibility, and productivity for our enterprise clients.

Key Responsibilities
  • Own the design and implementation of our Machine Learning infrastructure
  • Develop highly scalable custom classifiers and models that leverage machine learning, deep learning, and algorithmic approaches for large-scale problems
  • Apply the latest deep and machine learning advances to increase efficacy and performance.
  • Integrate, deploy, test, and verify your algorithms and models through simulation and in real-world environments
  • Design, develop, test, deploy, maintain and improve software.
  • Collaborate cross-functionally to deploy AI solutions
  • Produce high-quality, production-ready, readable, maintainable code
What You Bring
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of work experience as a machine learning engineer, data scientist, and software developer with least two years at a seed, Series A, or Series B company
  • Experience leading ML products or features from inception to business impact
  • Deep knowledge of:
    • Architectural patterns for large-scale software applications
    • Transformer architecture
    • LLM concepts (Prompt Engineering, RAG, fine-tuning)
  • Expert-level programming in Python, with proficiency in goLang, Java, or C/C++
  • Hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras, etc.)
  • Strong familiarity with various data stores (NoSQL, SQL, relational, graph)
  • Experience with cloud environments (AWS, GCP, Azure)
  • Ability to design and build production-level ML infrastructure and data pipelines
  • Self-starter with an owner's mentality and passion for learning
  • Sharp problem-solving, critical thinking, and systems thinking abilities
  • Proactive communication skills (verbal and written) for technical decisions and project management
  • Bias towards action and rapid delivery
Preferred Qualifications
  • Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Relevant professional experience with one or more of the following: Natural Language Understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar
  • Direct experience in generative AI and LLM research
What We Offer
  • Founding equity options
  • Health, dental, and vision insurance
  • 401(k)
  • 15+ paid company holidays and 30 days PTO per year
  • Your choice of tech
  • Commuter benefits
  • Team building events
Working Environment

Lanai is based in Palo Alto and we co-create in our office, together, most of the time. We have a regular in-office cadence for team connection and brainstorming sessions, with the flexibility for remote work the rest of the time. We use the best collaboration tools, schedule regular off-sites, and plan for team bonding experiences.

Representative and Inclusive Employer

We're committed to providing equal treatment and opportunity to all applicants throughout the hiring process and their tenure at Lanai. We don't discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran or military status, or any other legally protected status.

Note: Research shows that men often apply for jobs when they meet only about 60% of the qualifications, while women and other marginalized groups tend to hesitate unless they meet all criteria. If you don't match 100% of the job qualifications but believe you'd be a great fit, we strongly encourage you to apply

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