Position: Data Scientist - ML Engineer (Generative AI)
Company: Galactica Labs
Experience required: 3y
English level: upper

Galactica Labs is looking for a NLP engineer to work with our long term legal technology client that is developing document drafting and workflow automation products.  

We are looking for a brilliant Engineer to explore cutting-edge LLM applications in an applied data science role.  You will be working to tune and train models for a variety of legal technology use cases. You will also work to extend and upgrade existing NLP/NLG features in production. 

We have strong belief that LLMs will revolutionize industries and that we are uniquely positioned to take advantage of this technology in our niche of legal technology.  You will be the first dedicated subject matter expert on LLMs and we will lean on you to pioneer LLM applications.

**What this role is:**
Moving quickly to prototype and iterate on new LLM applications.
Staying on top of emerging trends in LLMs and NLP
Being an LLM product thinker in the sense of reformulating existing problem statements to a form that LLMs can tackle.
Working independently, taking initiative, setting up experiments and demonstrating progress through principled use of metrics.

**Requirements:**
Experience with natural language processing (NLP)
Experience with large language models, such as BERT, GPT, or Transformers
Strong programming skills, with experience in Python and ML libraries
Proven track record of ideation, designing and building prototypes as well as demonstrating, documenting, and sharing the learnings
Experience processing of large text collections with standard NLP tools for parsing, entity extraction, POS tagging, topic discovery and classification (such as sentiment analysis), and natural language understanding; tuning hyper-parameters of existing NLP models for domain-specific data sets; computational manipulation and analysis of natural language documents using statistical models; experimenting with large corpora for developing and testing advanced NLP algorithms.
3+ years of experience with building and deploying ML applications
Strong problem-solving and communication skills
Bachelor's or Master's degree in Computer Science or a related field
Excellent interpersonal and English verbal and written communication skills