Machine Learning Engineer

Reposted 14 Days Ago
San Francisco, CA
Hybrid
Mid level
Artificial Intelligence • Financial Services
The Role
The Machine Learning Engineer will work with senior engineers to design and iterate ML solutions, manage data-centric workflows, and curate data for training models with a focus on computer vision and ML solution design.
Summary Generated by Built In
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

LandingAI Benefits:

  • Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans. 
  • 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 LandingAI, you will have to fit well with our LandingAI 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 Mountain View, CA at least 3 days a week. 

Note: LandingAI 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.

Top Skills

PyTorch
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The Company
HQ: Palo Alto, CA
34 Employees
Year Founded: 2017

What We Do

Who is AI Fund?

We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence.

Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock.

How Are We Different?

We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge.

We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most.

Why Work With AI Fund?

Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success.

We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.

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