Overview

Chronograph was founded to bring next-generation technology to private capital markets. Through our suite of cloud-based analytics and data management solutions, we help many of the world’s largest and most sophisticated venture capital, private equity, and credit funds understand their investment performance in unprecedented detail, with over $20 trillion of AUM monitored via our solution suite. 

At Chronograph, we get to go “behind the scenes” and work directly with investors who are driving some of the most impactful changes across high growth start-ups, global infrastructure and renewable energy, growth equity, and all other private capital strategies. The firm is backed by The Carlyle Group, Nasdaq Inc., and Summit Partners, and has seen continuous rapid growth since its founding in 2016.

The Opportunity

Bring your expertise to a highly collaborative, creative, and innovative team with a market-leading technology product suite. We are seeking a highly motivated Applied Data Scientist with Software Engineering capabilities to join our Machine Learning team to help design and develop our NLP pipelines.

You will work closely with internal stakeholder teams of product owners and private equity analysts, with a focus on continuous model improvements, ML pipeline deployments, and human in the loop capabilities. This position will report to the Machine Learning Manager, with engagement across the organization. 

This is an exceptional opportunity for a driven, detail-oriented top performer to become directly engaged with several of the world’s most sophisticated private equity investors and produce immediate impact within a globally-focused financial technology firm. 

Even if you do not meet all criteria, we would still encourage you to apply! Chronograph offers an entrepreneurial environment where you will be able to proactively identify opportunities to develop and strengthen our Machine Learning function. 

As an Applied NLP Data Scientist/Engineer at Chronograph, you will:

• Evaluate & Experiment with Deep Learning based models like Transformers and classical statistical techniques.
• Leverage your SLM/LLM experience to solve problems around information extraction, AI agents, summarization, and RAG.
• Use query languages like SQL, GraphQL, Elastic, etc for data preparation & curation and work with ML infrastructure.
• Review scientific papers to find optimal or novel approaches to improve model performance, and keep up to date with the latest applicable ML python packages .
• Work on improving models using unlabeled data through cutting edge algorithms eg. self-supervised learning, semi-supervised learning, active learning, or weak supervision with specific focus on NLP.
• Set up pipelines for model evaluation to progress ML capabilities at Chronograph.
• Deploy models into production while working with DevOps, design, and full-stack teams to integrate features.

You will be successful in this role if you have:

• BS/MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, etc. Alternatively, two years of Masters-level equivalent work experience is a plus 
• 3 years Proven experience with Python, specifically Pytorch/Pandas/NumPy/Transformers/SciPy/Scikit-learn.
• Experience with AWS SageMaker, AWS Lambda, MLFlow, Airflow, SQL, Docker
• Two years or more of experience working with TensorFlow/PyTorch,pre-training and fine-tuning  models (BERT, RoBERTa, etc.). HuggingFace experience is a plus.
• Good interpersonal, communication, and presentation skills.

Why Join Chronograph?

We value creativity, open communication, cutting edge technology, striving for excellence in all things – and having fun along the way. We want you to be happy here for the long-term.

We offer:

• Flexible work arrangements (including remote / in person / hybrid)
• Competitive salary 
• Equity Participation
• Unlimited and flexible vacation
• Generous health benefits
• Tri-annual team events in New York City for all global employees
• Fully-paid parental leave
• ...and more! 

Chronograph is committed to promoting a diverse and inclusive culture, and we welcome applicants from all backgrounds. If you’re a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we’d love to hear from you!