Machine Learning Engineer

LandingAI has always been a Visual AI company solving vision problems. We treat documents as visual artifacts and have taken on the challenge of systematically solving problems within the document understanding space. Overall, we are building foundational infrastructure for developers to extract information from their images and documents.

Our roots:

1. An early pioneer in Agentic AI, which we have applied in practice with Agentic Document Extraction (ADE).

2. Our LandingLens product, which has helped healthcare, finance, legal, and manufacturing teams address their visual AI challenges, maturing us in data-centric practices.

3. A vision-first approach, now applied to building our in-house foundation models.

These three pillars—agentic AI, data-centric obsession, and a vision-first approach—inform our ADE product and this is what you will deeply experience while working at LandingAI. Founded by Andrew Ng, one of the world’s leading AI researchers, LandingAI is committed to bringing cutting-edge research into production to solve real-world problems at scale.

We love and appreciate leadership, ownership, and founder energy. We value people with the guts to stand by their work and deliver, rather than offering empty talk. If this is you, you are already a culture fit and we would love to talk more.

What You’ll Do:

• Work directly with senior ML engineers to design ML solutions. These can involve agentic workflows or creating custom models.
• Iterate ML solutions to production-level quality
• Source and curate high quality data for training models
• Work closely with the labeling team to manage data-centric workflows

What We’re Looking For:

• Strong ML foundations and experience
• Experienced (3+ years) in ML solution design through solving real world, complex problems
• Strong grasp of ML fundamentals, modeling, and algorithm design (not just taking things off the shelf from open source)
• Strong computer vision background (Vision Transformers, CNNs, etc)
• Hands-on experience with utilizing LLMs programmatically in a fashion well-aligned with their strengths and weaknesses, especially in agentic workflows
• Data-centric obsession
• Experienced with the data-centric approach, including model evaluation and error analysis
• Very strong attention to detail, meticulous
• Willing to do the dirty work (data-centric, labeling, fixing, etc)
• Strong data analysis skills
• Other
• Good communicator
• Strong customer focus to understand requirements to solve the core problem
• Good coding skills (for purposes of communicating ideas clearly)
• Experienced with PyTorch

Landing AI Benefits:

• Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans.
• Environment: We provide an allowance for you to set up a workstation however you want.
• Wellness: We offer a fitness stipend to be used on well-being and fitness programs.
• Lifelong learning: With an education stipend, you are encouraged to keep learning and growing.
• PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.
• Retirement: We offer a 401k matching plan to help you plan for your future!
• Events: We love having fun! We set up regular virtual and in person events to connect with each other.
• Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network!
• *Subject to country of employment

To be successful at Landing AI, you will have to fit well with our Landing AI Principles. Please take the time to read and understand them as they define who we are and what we look for in our candidates. This is a hybrid role. You are expected to come to our office in Palo Alto, CA at least 3 days a week. Note: Landing AI provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure that varies by location. The base pay for this position is dependent on work location, as well as the knowledge, skills, and experience of the candidate. In addition to base pay, this role is eligible for bonus or commission and benefits and may be eligible for equity.