Data Scientist, H2O.ai
$100-130k
+ Equity
Open-source AI cloud platform
Be an early applicant
Open-source AI cloud platform
201-500 employees
Be an early applicant
$100-130k
+ Equity
201-500 employees
Company mission
To democratize AI for everyone.
Role
Who you are
- Bachelor’s or a higher education degree in Computer Science/Engineering, data science, statistics or related field
- Interest or experience with Kaggle or other competitive data science platforms is a plus
- GenerativeAI, LLM, Multi-Modal NLP, Computer Vision, Tabular IID, Timeseries, Feature Engineering
- Model interpretability, validation and backtesting
- Exploratory data analysis and Data Visualization,
- DeepLearning frameworks: pyTorch or TensorFlow,
- Scikit-learn, GBMs, linear models
- Unsupervised models/techniques: K-means, UMAP, t-SNE
- Proficient in Python
- Knowledge of R, Scala, Rust or Go can be beneficial
- Experience with Spark is a plus but is not required
- Proficient in spoken and written English
- Experience of working in a customer-facing environment is a plus
- Great communication skills
- Aptitude to independently investigate and find solutions to technical problems
- Maker mindset
- Humble and open to others’ ideas or suggestions
What the job involves
- As a member of the Grandmaster team you have an opportunity to work with an incredible team of world class talents, including three former world #1 and interact with all departments at H2O, like engineering, sales or customer data science
- The team has world wide coverage with members from the US west coast to Japan/Singapore
- The team is very agile and you can contribute to H2O.ai’s success in many different ways. You can impact one, some or all of the activities below and experience with customers is a plus
- Help our research efforts in GenAI especially foundation modeling, datasets and improving RAG
- Improve H2O AI products integrating your tricks or create new apps to solve use-cases you have experience with
- Help pre-sales team during PoCs to close deals
- Support our customers framing new use-cases and get the best out of H2O AI platform
- Learn new techniques competing in AI challenges
- Share your unique knowledge or skills with the team and data scientists
- Expand our community: write blog posts, share videos or interview domain experts in AI
- Demonstrate technical leadership in a H2O Product, Project or new initiative
- Have an impact on H2O’s revenue growth or regional/world wide awareness of H2O product offering and leadership in AI. This can be achieved through meetups, conferences, blog posts or direct customer interactions, like training, PoCs or use-case delivery. You may also be part of CEO’s office initiatives or customer calls
- Desire to be recognized as an expert in one or several domains like GenerativeAI, NLP/LLM, Computer Vision or AutoML
Our take
Dedicated to making the world of AI more accessible to everyone, H2O.ai provides a platform that supports the making and operating of AI for businesses. The platform boasts a range of capabilities; from automated machine learning and no-code deep learning, to AI-powered data labelling and extraction; as well as its most recently added "h2oGPT" that supplies enterprise generative AI.
With productivity, organisation and data analysis among the core parts to any business' success, AI and machine learning getting more and more popular - as they are able to outpace humans' ability to absorb, interpret, and make complex decisions quickly. It is no surprise then that H2O.ai has a grand roster of clients including GlaxoSmithKline, Capital One, and Paypal. It is also well-funded, and with such a comprehensive set of offerings it is in a great place to secure further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Nov 2021
$100m
SERIES E
Aug 2019
$72.5m
SERIES D
Total funding: $251.1m
Company benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
Company HQ
Mountain View, CA
Leadership
Sri Satish Ambati
(Co-Founder & CEO)11 years experience in the Software and Engineering field prior to H2O.ai. Worked as Director of Engineering and Principal Engineer of DataStax.
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