What you’ll do
- You’ll be responsible for model design, implementation, training, and testing of cutting edge Natural Language models for human to machine translation for semantic search
- You’ll use your expertise in a variety of NLP areas such as LLM, NLU/NLG, tokenization, lemmatization, entity classification, LDA, POS, etc. to solve a variety of complex challenges
- You’ll be responsible for the entire lifecycle of model development, operations, and maintenance
- You’ll research new techniques and technologies in the NLP space (including GenAI), evaluate their potential for improving the quality of the core product, and document your findings
- You’ll define key system metrics and data you need to develop models/approaches effectively
- You’ll work collaboratively with the team and foster an agile MLOps culture that encompasses model development, training, tuning, and validation to ensure timely, quality, product delivery, and lifecycle management
- You’ll contribute to advanced algorithms that transform data and relational graphs into interpretable information that feed into semantic search services that will delight, connect, and enable non-experts to become consumers of earth data
What we are looking for
- You are collaborative with a go-getter mindset, and self directing behaviors for the benefit of the team, the customer, and the company culture
- You have high integrity - you seek open and honest communication, and you hold yourself to high moral and ethical standards
- You are able to effectively manage concurrent technical tasks with competing priorities independently, approach difficult problems with enthusiasm and creativity, effective team communicator, and the ability to change focus when necessary
- You have a strong customer oriented mindset, and drive to focus on what a customer truly wants
- You have hands on experience with building NLP Applications
- You are proficient in ML Toolkits (e.g. PyTorch, Tensorflow), and are strong in one or more programming languages: Python, C, Rust, C++
- You are experienced with data taxonomies, data correlation, and recommendation engines
- Ideally, PhD in computer science/machine learning
- You have 5+ years experience in the machine learning/NLP/NLU field
- Comfortable traveling within the U.S. for quarterly team meetups and occasional in-person customer meetings or demos
What you get
- Competitive compensation, including company equity to ensure you can share in the success of your work
- Full health benefits
- A 401k Vehicle
- Opportunity to change how Individuals, Businesses, and Governments interact with Earth data
- Fun, collaborative work environment that is hybrid (remote / onsite)
- Fast paced startup environment
- Lots of personal responsibility, opportunities for growth and learning
Top Skills
What We Do
Danti is a search engine which focuses on enabling novice and expert users alike to ask simple questions and discover the breadth of information being generated across the Earth today. We have experienced and observed how data silos impact users from commercial and federal users alike. Those impacts span across data sources such as satellites, drones, manned aircraft, terrestrial scanners, analytics firms, to even social media data, public sources and others. We aim to bring the data at any point on Earth to those looking to answer questions.
Danti is backed by leading investors in the space, enterprise software, and defense markets and our team has decades of experience building some of the largest data systems within government and the enterprise market









