Senior Backend Engineer - Forecasting & ML in Production
Braintrust
Job Overview
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Job Description
Overview
We’re building the next version of our ticket analytics SaaS. We collect daily ticket counts and pricing across ticketing/marketplace sites and maintain a large historical dataset. We’re looking for a Senior Backend Engineer - Forecasting & ML in Production who can help us ship forecasting features into production—predicting ticket prices and ticket counts over the next 10+ days—integrated into our existing Node + Python services.
This is an applied role: you’ll combine backend engineering with practical forecasting/model deployment. Our goal is to ship a reliable v1 quickly, then iterate on accuracy and performance.
What You’ll Do
- Build and productionize forecasting features for price + ticket-count prediction using our historical dataset
- Work with our team to define an initial approach (baseline models → iteration) and success metrics
- Implement data prep/feature pipelines (batch jobs and/or scheduled workflows)
- Deploy inference in production (APIs, async jobs, or services) and optimize latency/performance
- Partner with backend engineers to integrate forecasts into our microservices and product workflows
- Add lightweight monitoring (model performance + data drift indicators) and support iteration
Must-have Experience
- Strong Python experience and comfort with applied ML / forecasting (time series or similar)
- Strong backend engineering fundamentals; experience building/maintaining APIs/services
- Experience deploying ML/forecasting systems into production (not just notebooks)
- Comfort working with large datasets and pragmatic data hygiene/validation
- Familiarity with cloud environments (AWS preferred) and modern deployment practices
Nice-to-haves
- Node.js experience in a microservices environment
- Experience with Redis caching / queues
- Experience with scraping/ingestion pipelines (even if not owning that system)
- Experience with model monitoring/drift tooling (lightweight is fine)
Key skills/competency
- Python
- Machine Learning
- Forecasting
- Time Series Analysis
- Backend Engineering
- API Development
- Microservices
- AWS
- Data Pipelines
- Model Deployment
How to Get Hired at Braintrust
- Research Braintrust's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight Python, ML production, forecasting, and backend engineering experience relevant to the Senior Backend Engineer - Forecasting & ML in Production role.
- Showcase project experience: Prepare to discuss specific examples of deploying ML models, building APIs, and working with large datasets.
- Prepare for technical interviews: Expect deep dives into Python, data structures, algorithms, system design, and ML deployment challenges.
- Demonstrate problem-solving: Be ready to articulate your approach to complex forecasting and data pipeline problems during the Braintrust interview process.
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