AI/ML Ops Software Engineer, Modern Treasury
Tech Lead
$200-360k
+ Equity
Payment operations solutions
Open for applications
Payment operations solutions
101-200 employees
Open for applications
$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 role requires a blend of technical excellence, AI/ML operations experience, and leadership capabilities to guide cross-functional teams through the challenges of modern AI model deployment
- 10+ years of experience in AI engineering or machine learning infrastructure, with significant experience leading end-to-end AI model development and deployment in production environments
- Strong experience with modern MLOps frameworks and practices, including automated model deployment, monitoring, and lifecycle management
- Deep understanding of the ML SDLC, with hands-on experience building pipelines for scalable model serving, retraining, and testing
- Proven ability to work closely with AI Product Researchers to transform cutting-edge research into scalable, real-world AI solutions
- Experience building tools and amplifying harnesses that streamline the transition from research models to full-scale deployment
- Deep expertise in LLMs, transformers, and advanced recommendation systems, with hands-on experience in building and optimizing models using open-source frameworks such as PyTorch and TensorFlow
- Proficiency in optimizing and deploying AI models on cloud platforms, especially AWS, leveraging tools like SageMaker, EC2, and Kubernetes
- Proven leadership experience in managing engineering teams, guiding architecture decisions, and driving AI strategy at the enterprise level
- Strong coding and automation skills (Python, ML frameworks), with a focus on productionizing machine learning models using MLOps best practices
- Excellent communication skills, with the ability to collaborate with AI researchers, engineers, product managers, and business stakeholders to deliver impactful AI solutions
- A strategic mindset with the ability to lead and mentor technical teams, driving a culture of collaboration and innovation
What the job involves
- As the AI/ML Ops / Software Engineer (Tech Lead), you will lead the architecture, development, and operations of AI/ML infrastructure, ensuring that state-of-the-art models are seamlessly integrated into production environments
- In collaboration with AI Product Researchers, you will develop and deploy scalable machine learning models, focusing on automating and optimizing the ML Software Development Lifecycle (ML SDLC) to streamline everything from model research and experimentation to serving and monitoring in production
- You will be responsible for building AI/ML Ops practices and frameworks to support the rapid and reliable transition of models from research into full-scale production environments
- Modern Treasury is the operating system for money movement
- Our payment operations platform combines a suite of APIs and dashboards to help companies unlock new payments revenue, strengthen customer experiences, and drive efficiency through their business
- Our end-to-end platform moves enterprises forward with faster payments, efficient workflows, full data visibility, and seamless bank integrations
- Lead and optimize the ML SDLC, ensuring a smooth transition from model research to deployment, integrating CI/CD pipelines, monitoring, and scaling
- Oversee the full lifecycle of AI systems, from model development and experimentation to testing, deployment, and continuous optimization
- Collaborate closely with AI Product Researchers to translate research outcomes into scalable, production-ready AI models
- Build amplifying harnesses and tools to improve research-to-production cycles, allowing researchers to rapidly iterate on models
- Architect and manage robust AI/ML Ops frameworks that handle the training, serving, monitoring, and lifecycle management of models, enabling fast iteration and high reliability
- Establish best practices for AI/ML infrastructure, ensuring operational excellence in production environments
- Lead the design of scalable architectures that support both real-time inference and large-scale model training
- Optimize performance and scalability across distributed AI systems, leveraging cloud technologies (e.g., AWS SageMaker, EKS, and distributed computing frameworks)
- Lead innovation initiatives, pushing the envelope on AI-driven systems such as LLMs, transformers, and recommendation engines
- Enable MLOps best practices, incorporating automation for model versioning, rollback, and monitoring to ensure robustness and compliance in production environments
- Partner with engineering, product, and data teams to ensure that AI solutions are fully integrated into product features, driving measurable business outcomes
- Mentor and lead engineering teams, establishing a strong culture of technical excellence, collaboration, and innovation
- Facilitate the seamless integration of research-grade AI models into production, ensuring performance, scalability, and alignment with business requirements
- Develop tools and infrastructure that empower researchers to experiment with and deploy cutting-edge models faster
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 19 more jobs at Modern Treasury