Senior Machine Learning Engineer

At Danti, we're on a mission to transform how people interact with the vast amounts of data being generated about our physical world. From satellites and drones to 3D scanners and advanced analytics, sensing technologies are creating unprecedented levels of information. Yet, much of this data remains out of reach for non-experts, trapped behind complex and fragmented systems. We’re building an AI-powered knowledge engine designed to make this data accessible and usable for everyone. Our mission is to enable anyone, regardless of expertise, to search and understand their world of data instantly. The tools and technologies have matured, and now is the time to bring this capability to the broader market. If you're passionate about innovation and want to be part of shaping the future of how we understand and interact with the physical world, we’d love to have you on our team. Our Mission To enable anyone, regardless of expertise, to search and understand their world of data instantly. Role Summary As a NLP Machine Learning engineer, you will be responsible for developing NLP microservices that will enable the core offerings of semantic context-based search of Earth data. You will work collaboratively with the CTO, Head of ML, Head of Engineering, & Head of Product to deliver innovative, operational solutions that solve the fundamental need of translating a naturally phrased query into a machine query that can return context-bound and semantically relevant Earth data results. Your role in managing the lifecycle of our NLP capabilities will be a critical aspect of ensuring the success of the business. 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