Applied AI Engineer, Modern Treasury
Tech Lead
$200-360k
+ Equity
Payment operations solutions
Be an early applicant
Payment operations solutions
101-200 employees
Be an early applicant
$200-360k
+ Equity
101-200 employees
Company mission
To transform how teams mov and track money - to support impactful businesses rooted in trust and transparency.
Role
Who you are
- This position requires someone with a strong background in applied AI research, a passion for solving real-world problems, and the ability to work in a fast-paced, dynamic environment
- Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field
- 7-10+ years of industry experience in applied machine learning, with demonstrated success in leading projects in the fields of recommendation systems, NLP, and information retrieval
- Strong knowledge and hands-on experience in building modern recommendation engines
- Experience with NLP techniques, including working with transformer models, language generation, and other cutting-edge advancements
- Proven experience working with open-source deep learning models (e.g., BERT, GPT, etc.) and scalable training/serving infrastructure (e.g., TensorFlow, PyTorch, Kubernetes, etc.)
- Proficiency in deploying machine learning models in production environments, including experience with MLOps best practices
- Strong programming skills in Python, with experience in machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn)
- Familiarity with cloud-based AI services (e.g., AWS, GCP, Azure)
- Strong ability to collaborate with product managers, founders, and software engineers to build and iterate on product-focused AI solutions
- Proven track record of applying research to solve real-world, large-scale problems in production
What the job involves
- As the Applied AI Engineer (Tech Lead), you will lead efforts to design, build, and optimize AI-driven solutions that directly impact our customers and the Modern Treasury platform
- In this role, you will leverage state-of-the-art machine learning models to create advanced recommendation systems, improve information retrieval capabilities, and push the boundaries of natural language processing (NLP) in fintech
- You’ll collaborate with cross-functional teams, including product managers and software engineers, to bring advanced AI from research into practical, scalable products
- Lead the end-to-end development and deployment of AI systems, focusing on recommendation engines, NLP, and information retrieval for fintech products
- Drive innovation by identifying new opportunities to apply machine learning to enhance customer experience and product functionality
- Collaborate with engineers and product managers to translate product requirements into sophisticated, scalable AI models
- Oversee the architecture, training, and serving of open-source and proprietary deep learning models using state-of-the-art infrastructure
- Conduct applied product research to evaluate and integrate the latest AI and machine learning techniques into production systems
- Develop, maintain, and optimize machine learning pipelines and frameworks for high-throughput, low-latency model serving
- Ensure AI solutions adhere to regulatory standards and fintech best practices
Our take
Modern Treasury is a fintech company looking to modernize legacy B2B banking by accelerating the pace of payments. Its payments operation software offers real-time transaction tracking and an API or dashboard to help companies manage payments from a single place. With approximately $120 trillion in B2B business payments processed annually globally, Modern Treasury is tapping into a huge market opportunity.
Key to the success of its offering has been to renovate legacy payment methods, such as checks. Its software significantly reduces the processing time required to carry out transactions - and is applicable across a broad swathe of high-value sectors like real estate, healthcare, and financial services.
With rapid market expansion and accelerating digital transformation, Modern Treasury has experienced impressive growth since its 2018 founding, quickly achieving Unicorn status. Partnerships with Metropolitan Commercial Banks and products like Global ACH highlight suits value and adept navigation of a growing customer base.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Mar 2022
$50m
SERIES C
Oct 2021
$85m
SERIES C
Total funding: $183.2m
Company values
- Helping our customers build their own best companies
- Creating the conditions for personal and professional growth
- Making decisions for longevity
Company HQ
Union Square, San Francisco, CA
Articles
Leadership
Dimitri Dadiomov
(CEO)They studied at Stanford and Harvard, and have held senior positions at Foundation Capital and LendingHome.
Matt Marcus
(CPO)A Dartmouth graduate and former Y Combinator member, they previously worked at LendingHome as a Senior Software Engineer.
Sam Aarons
(CTO)They studied Computer Science at Columbia and were a Senior Software Engineer at LendingHome.
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