Senior Software Engineer – AI Fintech

Hopper

Senior Software Engineer designing and implementing ML systems for Hopper’s pricing engine. Collaborating with teams to deliver scalable pricing solutions for diverse partners.

Posted 6/29/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $110,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing automated training pipelines and real-time ML pricing solutions, with a strong focus on data modeling, software architecture, and production ML systems. Possesses a product mindset and collaborative communication skills to effectively partner with data scientists, engineers, and business stakeholders.

Highest-signal resume keywords

Python ProficiencyScala ProficiencySQL ProficiencyML Algorithms ExpertiseData Modelling Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automated Training PipelinesETL PipelinesFeature EngineeringReal-Time ML SolutionsProduction ML SystemsDistributed Data ProcessingData ModellingSoftware ArchitectureMonitoring Production SystemsChampion-Challenger Testing

Soft Skills

Analytical InstinctsAttention to DetailCollaborative CommunicationProduct Mindset

Industry Keywords

Pricing ModelsDemand ForecastingMarket ConditionsModel IntegrityTechnical Solutions

Tech Stack

Tools & technologies

ETLPythonScalaSQL

About the role

Key responsibilities & impact

Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio.
Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models.
Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment.
Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity.
Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions.
Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions.

Requirements

What you’ll need

5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms.
Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work.
Experience in data modelling, software architecture, and distributed data processing frameworks at scale.
Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains.
Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production.
A product mindset that keeps the customer outcome in view, even when the work is deeply technical.
Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences.

Benefits

Comp & perks

Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
Unlimited PTO.
Carrot Cash travel stipend.
Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
Very generous parental leave, much above industry standards!
Entrepreneurial culture where pushing limits and taking risks is everyday business.
Open communication with management and company leadership.
Small, dynamic teams = massive impact.
100% employer paid Medical, Dental and Vision coverage for employees.
Access to Disability & Life insurance.
Health Reimbursement Account (HRA).
DCA/ FSA and access to 401k plan.