About Delphia
Delphia is a data-driven investment company that leverages both structured and unstructured data to forecast markets. Founded in 2018, Delphia is a graduate of Y Combinator and the Creative Destruction Lab. We have raised ~$80 million to date, enabling us to build a robust platform that rethinks the value of data across the investment landscape.
Delphia’s mission: To help people achieve financial prosperity
About the Tilt team
Tilt’s mission is to price the world’s information. We do this by empowering investors of all sizes to spot emerging trends using AI and LLM models, while simplifying the investment process by managing trend-related complexities. Tilt’s strategy is to map relationships between entities through point-in-time data and build dynamic indices for institutional and retail investors alike.
About the Role
(This is a fully remote role — we are open to hiring employees based in Canada or the United States.)
As a Machine Learning Engineer at Delphia, you will be integral in developing and implementing machine learning models and algorithms, particularly in the areas of Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), MLOps/LLMOps. You will work closely with researchers, data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Your role will involve experimenting with new LLM methodologies, conducting data preprocessing, and ensuring the performance and reliability of deployed models.
In your first month, you will:
- Familiarize yourself with Delphia’s data and ML infrastructure, tools, and current machine learning projects
- Understand the business and technical objectives of Tilt, as well as the architecture approaches
- Review our existing models and datasets to understand current capabilities and limitations
- Collaborate with the team to identify immediate areas where LLMs and AI can add value
- Begin developing prototype models using existing data to showcase initial results and benchmarks, integrated with RL feedback loops.
- Engage with stakeholders to understand their needs and how LLMs can be integrated into their workflows to build internal tooling
In your first three months, you will:
- Develop and deploy a minimum viable product (MVP) for Tilt that utilizes state-of-the-art models and architectures
- Set up and automate data pipelines for continuous model training and evaluation
- Optimize existing LLM models for performance, accuracy, and scalability
- Work closely with the Tilt team to integrate the MVP into the production environment
- Conduct A/B testing and gather feedback from stakeholders to iterate on the model
In your first year, you will:
- Own the development of multiple LLM-driven solutions, from initial research and prototyping to production deployment
- Apply best practices for LLM model development, deployment, and monitoring
- Mentor junior team members and contribute to knowledge sharing within the team
- Continuously evaluate new ML techniques and tools to keep Delphia’s models at the cutting edge, in a modular and fast-paced iteration cycle from research to deployment
- Develop and maintain comprehensive documentation for all internal ML models and processes
- Engage with external partners and the broader ML community to stay informed about the latest trends and advancements in the field
Responsibilities
- Design, develop, and deploy machine learning models with a focus on LLMs to enhance data-driven for point-in-time index and ticker construction
- Perform data analysis, preprocessing, and feature engineering to prepare datasets for training and evaluating LLMs
- Implement and optimize LLMs to ensure high performance, accuracy, and reliability in our production environments
- Monitor and maintain the health and performance of deployed LLM models, making adjustments as needed
- Collaborate with cross-functional teams to integrate ML solutions into Delphia’s platform, ensuring they meet user needs
- Document processes, models, and methodologies to support knowledge sharing and reproducibility within the team
Qualifications
Must-Haves:
- Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, Data Science, or a related field with a focus on AI/ML
- Proven experience in developing, deploying, and optimizing deep learning models in production environments
- Strong programming skills in Python, with expertise in ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers
- Solid understanding of machine learning algorithms, statistical methods, and data structures specific to LLMs
- Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques for LLMs
- Familiarity with cloud platforms (e.g., GCP) and tools for ML deployment (e.g., Docker, Kubernetes)
- Strong problem-solving and communication skills, particularly in the context of ML and AI
Nice-to-Haves:
- Experience with natural language processing (NLP), reinforcement learning, and unsupervised learning techniques
- Interest in finance and investment strategies, particularly in applying LLMs to financial markets and investment strategies
- Prior experience in a fast-paced, agile development environment
- Familiarity with tools and frameworks for building and deploying AI Agents and ML models including but not limited to OpenAI GPT, BERT
Unicorn Status:
- You’ve led the development and successful deployment of cutting-edge LLM and ML models that achieved significant business impact in a production environment.
- You have a track record of publishing influential research papers on LLMs or other advanced ML techniques in top-tier conferences and journals.
- You are always keeping up-to-date with the latest state-of-the-art architectures in the AI domain
- You think outside the box and have a strong interest in applying novel architectures to produce new benchmarks in the products you build
Benefits and Perks at Delphia
Health & Wellness
- Comprehensive health, dental, and vision benefits, including HSA & FSA
- Gym allowance
Team Connectedness
- Quarterly Retreats at different locations around the world
Flexibility
- Work-from-anywhere policy and flexible working hours
- Generous time-off policy
- Winter holiday break (paid in full)
Money Matters
Other Perks
- Delphia swag
- Birthday & Anniversary gifts
- Remote work home office stipend
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate by race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Delphia is committed to working with applicants requesting accommodations.
Leadership Principles
As a team, our work is informed by our 7 Leadership Principles:
- Mission over culture: audacious goals require heterogeneous perspectives
- Owners place bets: by directing our future, you will direct your own
- Maximal reciprocity: give more than you take; the problem is bigger than the sum of us
- Reason from first principles: the greatest impact starts by solving problems at the root
- Speak truth to power: there is no diversity of opinion without the courage to speak
- Deliver often: consistency and cadence will compound over time
- Thrive on change — the world is less predictable every year; we should be as well
Contact
Reach out to careers@delphia.com with interest.