Staff Engineer - DS/ML

1 Month ago • 6 Years + • Research Development • ~ $260,000 PA

Job Summary

Job Description

interface.ai, a leading AI provider for financial institutions, is seeking a Senior or Staff Backend Engineer with deep experience in data-intensive systems, modern data pipelines, and scalable backend services. The role involves designing and building critical components for the Data Platform, enabling efficient data ingestion, transformation, and processing. You will work on architecting multi-tenant data infrastructure, enabling probabilistic and attribution-driven models, ensuring data integrity, and developing scalable backend services for data ingestion and pipelines. The position requires collaboration with product managers, data scientists, and engineers to create a reliable, scalable, and AI-ready data platform.
Must have:
  • 6+ years of backend engineering experience
  • Experience designing backend systems in multi-tenant environments
  • High attention to detail for data correctness
  • Strong command of backend development (Python, Go, or Java)
  • Experience with distributed systems, streaming or batch orchestration
  • Strong knowledge of modern data architecture principles
  • Experience with cloud-native data warehouses
  • Understanding of schema management and versioning
  • Familiarity with performance tuning and reliability
  • Comfort working with stochastic and causal reasoning frameworks
Good to have:
  • Prior work on platform or infrastructure teams
  • Exposure to personalization infrastructure
  • Exposure to data mesh or domain-driven data modeling
  • Experience with statistical debugging or systems operating under uncertainty
  • Experience integrating security and compliance into data platform components
Perks:
  • Medical, dental, and vision insurance
  • Wellbeing resources and programs
  • Public holidays
  • Discretionary PTO package
  • 401K
  • ESPP
  • Basic life and AD&D insurance
  • Long-term and short-term disability
  • Parental leave
  • Maternity support
  • Fertility services
  • Access to internal professional development resources
  • 24/7 access to professional counselors
  • Voluntary insurance coverage
  • Exclusive perks and discounts

Job Details

interface.ai is the industry's-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company's integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI.

Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth.

interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation.

About the Role

We are looking for a Senior or Staff Backend Engineer with deep experience in data-intensive systems, modern data pipelines, and backend services that operate at scale.

You will design and build critical components of our Data Platform, enabling structured ingestion, transformation, real-time and batch processing, and integration with AI workflows. This role combines system design, backend engineering, and platform thinking—with the opportunity to influence core architectural direction.

You’ll work closely with product managers, data scientists, infra and application engineers to ensure our data platform is reliable, scalable, and AI-ready.

Key Responsibilities

  • Architect Multi-Tenant Data Infrastructure - Build data systems with strong tenant isolation guarantees, while supporting tenant-specific configuration, schema extensions, and custom data ingestion pipelines.

  • Enable Probabilistic and Attribution-Driven Models - Lay the backend foundations for models that operate on probabilistic reasoning, sequence attribution, and temporal causality. Partner with data scientists to expose necessary event logs, intermediate representations, and counterfactual support for explainable outcomes.

  • Ensure data integrity, lineage, and auditability across tenants with dynamic configuration needs.

  • Design, build, and maintain scalable backend services that support data ingestion, data pipelines, metadata management, and the data warehouse

  • Work across streaming and batch paradigms, building frameworks that support high-velocity real-time events as well as durable historical datasets

  • Collaborate on the architecture of our next-generation data platform—balancing flexibility, performance, and cost

  • Implement observability, SLAs, and fault tolerance across critical data flows

  • Partner with ML and analytics teams to enable data products such as behavioral modeling, conversation intelligence, and user analytics

  • Build and maintain APIs, microservices, and orchestration systems that expose data pipelines as first-class infrastructure

  • Drive technical excellence through design reviews, code quality, documentation, and mentorship

What Success Looks Like

  • Scalable ingestion systems that support structured, semi-structured, and event-based data

  • A unified data layer powering internal analytics and external-facing dashboards

  • Backend systems that are robust, monitored, and support low-latency query and job execution

  • Data infrastructure that is modular, reusable, and developer-friendly across use cases

  • Increased data reliability, accuracy, and freshness across mission-critical services

What You Bring

Required

  • 6+ years of backend engineering experience with a focus on data-intensive applications

  • Experience designing backend systems in multi-tenant, configuration-rich environments.

  • A high attention to detail and craftsmanship around data correctness, versioning, and recovery.

  • Strong command of backend development using languages such as Python, Go, or Java

  • Experience with building distributed systems, streaming (Kafka, Pulsar, etc.), or batch orchestration (Airflow, Dagster, dbt)

  • Strong knowledge of modern data architecture principles, including data lakes, lakehouses, or warehouse-first designs

  • Experience working with cloud-native data warehouses (e.g., Snowflake, BigQuery, Redshift) and storage systems (e.g., S3, GCS)

  • Understanding of schema management, versioning, metadata systems, and data governance

  • Familiarity with performance tuning, concurrency, and reliability in backend services

  • Comfort working with stochastic and causal reasoning frameworks, and the system-level implications for such modeling (e.g., replay, feature provenance, sequence entropy).

Preferred

  • Prior work on platform or infrastructure teams supporting ML, analytics, or product instrumentation

  • Exposure to personalization infrastructure, including behavioral embeddings, identity resolution, and per-user vector stores or feature stores.

  • Exposure to data mesh, domain-driven data modeling, or federated governance models

  • Experience with statistical debugging, attribution analysis, or systems that operate under uncertainty or partial observability

  • Experience integrating security, compliance, and auditability into data platform components

    Why Join Us

    • Work on critical infrastructure at the heart of AI-first products in financial services

    • Solve real-world challenges in scale, latency, observability, and developer ergonomics

    • Collaborate with an exceptional team of engineers, data scientists, and product leaders

    • Shape the architecture of a modern platform powering AI agents and real-time intelligence

The base salary range for this role will be between $225,000 to $260,000. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications. During the phone screening, your recruiter will provide the location-specific salary range for this role. Regardless of your personal situation or where you are in the world, Interface.ai offers comprehensive and great benefits programs to meet your needs:

  • Health: medical, dental, and vision insurance and wellbeing resources and programs
  • Time away: Public holidays and discretionary PTO package for flexible days off with manager approval
  • Financial: 401K, ESPP, Basic life and AD&D insurance, long-term and short-term disability
  • Family: parental leave, maternity support, fertility services
  • Development: Access to internal professional development resources.
  • Additional: 24/7 access to professional counselors, voluntary insurance coverage, exclusive perks and discounts

At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not  discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

Similar Jobs

Forescout Technologies  Inc  - Pre-Sales System Engineer

Forescout Technologies Inc

Sydney, New South Wales, Australia (On-Site)
3 Months ago
Interface AI - Senior Software Engineer, Frontend

Interface AI

United States (Remote)
5 Months ago
extreme network - Account Executive - Brazil

extreme network

State Of São Paulo, Brazil (Remote)
1 Month ago
GoMotive - Sr. Sales Engineer

GoMotive

Mexico City, Mexico (Hybrid)
2 Months ago
Reddit - Senior Client Partner, Global Strategic Accounts (Tech)

Reddit

Los Angeles, California, United States (On-Site)
1 Week ago
Qualcomm - Staff Engineer, Gen AI

Qualcomm

Hyderabad, Telangana, India (On-Site)
1 Month ago
bytedance - Research Scientist in Foundation Models for Science - ByteDance Research

bytedance

San Jose, California, United States (On-Site)
8 Months ago
Valeo - R&D Technician

Valeo

Batam, Riau Islands, Indonesia (On-Site)
1 Month ago
Prophecy - AI/ML Agentic-Workflows Engineer (Sr/Staff)

Prophecy

San Francisco, California, United States (Hybrid)
2 Months ago
Epic Games - Machine Learning Ops Engineer

Epic Games

London, England, United Kingdom (On-Site)
6 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Lionbridge Games - Account Manager, Games

Lionbridge Games

(Remote)
3 Months ago
Vertx Inc. - Customer Marketing Manager, Campaign Optimization

Vertx Inc.

Texas, United States (Remote)
1 Week ago
Aisera - Strategic Account Executive - West

Aisera

(Remote)
2 Months ago
MiQ - Associate Manager

MiQ

Bengaluru, Karnataka, India (Hybrid)
2 Months ago
GoDaddy - Director of Global Payment Strategy

GoDaddy

Tempe, Arizona, United States (Remote)
1 Month ago
Progress - Senior Product Marketing Manager

Progress

Burlington, Massachusetts, United States (Hybrid)
3 Weeks ago
Veeam Software - Enterprise Account Manager

Veeam Software

France (Remote)
1 Month ago
Lead Venture - Business Development Representative

Lead Venture

Des Moines, Iowa, United States (On-Site)
9 Months ago
Zinnia - Senior Director of Sales

Zinnia

Montreal, Quebec, Canada (Hybrid)
4 Days ago
Reddit - Senior Sales Manager

Reddit

Amsterdam, North Holland, Netherlands (On-Site)
2 Months ago

Get notifed when new similar jobs are uploaded

Jobs in San Francisco, California, United States

Hawkeye Innovations - Sports Systems Technician, B1G Replay (CHI)

Hawkeye Innovations

Rosemont, Illinois, United States (On-Site)
3 Months ago
Evolution  - In-Studio LIVE Game Presenter

Evolution

Atlantic City, New Jersey, United States (On-Site)
3 Weeks ago
UPF Industries  - Assembler I

UPF Industries

New Waverly, Texas, United States (On-Site)
6 Days ago
Flow - Leasing Specialist

Flow

Miami, Florida, United States (On-Site)
1 Month ago
Glean - Software Engineer, Security

Glean

Palo Alto, California, United States (Hybrid)
2 Months ago
Hawkeye Innovations - College Sports Systems Technician

Hawkeye Innovations

Wisconsin, United States (On-Site)
3 Months ago
CAE - CAE Instructor Pilot

CAE

Dallas, Texas, United States (On-Site)
5 Days ago
Next Level Business Services - Senior Developer

Next Level Business Services

Bethpage, New York, United States (On-Site)
9 Months ago
Apple - Senior Manager

Apple

Washington, District Of Columbia, United States (On-Site)
2 Days ago
Quilt - Channel Account Executive - US West (HVAC Partner Manager)

Quilt

United States (Remote)
6 Days ago

Get notifed when new similar jobs are uploaded

Research Development Jobs

Philips - Sr. Clinical Development Scientist

Philips

Shenzhen, Guangdong Province, China (On-Site)
1 Month ago
zoox - Manager, Offline Driving ML

zoox

Foster City, California, United States (Hybrid)
5 Months ago
Fortra - Senior Machine Learning Engineer

Fortra

United Kingdom (On-Site)
1 Week ago
Apple - Machine Learning Engineer - LLM

Apple

Cupertino, California, United States (On-Site)
1 Month ago
Salesforce - 2025 PhD Intern - AI Research, Singapore

Salesforce

Singapore, Singapore (On-Site)
9 Months ago
bytedance - Optical Scientist - Display Optics System

bytedance

San Jose, California, United States (On-Site)
4 Months ago
Safari AI - 8 Month Computer Vision/Machine Learning Intern

Safari AI

New York, United States (On-Site)
1 Week ago
Playtika - Games R&D-Monetization Operations Specialist

Playtika

Israel (On-Site)
8 Months ago
BioFire - Disease State Scientist

BioFire

Durham, North Carolina, United States (On-Site)
4 Weeks ago

Get notifed when new similar jobs are uploaded

About The Company

Interface AI is a leading Conversational AI SaaS company focused on providing cutting-edge solutions to the financial services industry. We serve close to 100 financial institutions today. We are one of the fastest-growing AI + financial technology companies in the industry, and we were recently featured as one of the top 100 fastest-growing fintech companies in Silicon Valley. Our mission is to empower every financial institution to scale efficiently and help its customers achieve financial wellness.

San Jose, California, United States (Remote)

India (Remote)

San Jose, California, United States (On-Site)

San Jose, California, United States (On-Site)

San Jose, California, United States (Remote)

View All Jobs

Get notified when new jobs are added by Interface AI

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug