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.

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 & renewable energy, growth equity, and all other private capital strategies.

Currently, over $5 trillion of total assets are managed via Chronograph’s solution suite. The firm is backed by Nasdaq, Inc. and The Carlyle Group 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 hire technologists with a broad set of technical skills who are eager to solve a wide range of challenges. The thread that unites us at Chronograph is a focus on delivering great, performant products that drive value for our clients.

We are searching for a Machine Learning Engineer who is passionate about automating, optimizing, leading initiatives, and training co-workers. You will be a contributor to engineering ML solutions as we continue to scale our sophisticated solutions for private capital markets.

Our ideal candidate has a strong sense of ownership and enjoys driving projects from inception to planning to execution in production. We value people who take pride in their work and show an aptitude for learning quickly whether they’re familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers with an engineering culture centered on continuous learning, collaborative knowledge sharing, and both personal and team development.

As a Machine Learning Engineer at Chronograph, you will:

• Manage Data Pipelines, automate data preparation and transformations
• Manage ML Pipelines, automate model training and deployment
• Use well known ML frameworks and AWS Cloud infrastructure
• Implement robust, performant, extensible, and secure data structures and APIs
• Develop a deep understanding of the business to deliver creative and thoughtful solutions
• Collaborate closely across the organization to build and refine processes to ensure efficient growth into the future
• Help attract, interview, and onboard your future team members during this exciting time of growth

You will be successful in this role if you have:

• (Minimum) Two (2) years of professional development/machine learning experience
• Knowledge of and experience with Python, Terraform, Sagemaker, MLflow, and Lambdas
• Basic understanding of Deep Learning, Computer Vision, and NLP
• Strong communication skills and an ability to distill complex concepts
• Ability to work both individually and collaboratively to deliver results in a fast-paced startup environment
• Positive attitude, sense of humor and creativity
• Deep curiosity and motivation to continue to develop as an ML Engineer and technologist
• Nice to have: Node.js, PostgreSQL, Serverless, Pytorch, OpenCV, Open Source OCR, NLP Transformers

Even if you don’t meet every criteria, we’d still encourage you to apply! We are growing rapidly and have a variety of needs across multiple roles and focus areas.

Why join Chronograph?

We’re a team that values creativity, open communication, cutting edge technology, striving for excellence in all things – and having fun along the way. We want you to be happy for the long-term.

We offer:

• Flexible work arrangements (including remote / in person / hybrid)
• Competitive salary
• Attractive equity participation
• Unlimited and flexible vacation
• Generous health benefits
• Fully-paid parental leave
• ...and more!

Chronograph is committed to promoting a diverse and inclusive organization 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!