# Senior Machine Learning Engineer

**Company:** [FINNY AI](https://hotfix.jobs/companies/finny-ai)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** $200k – $230k/yr
**Skills:** Python, PyTorch, TensorFlow, Fine-Tuning, Reinforcement Learning, Dpo, Transfer Learning, Weak Supervision, Synthetic Data, Model Versioning, Model Monitoring, Ml Pipelines
**Posted:** 2026-03-24

> Designs, trains, deploys, and iterates on custom ML models powering search, matching, recommendations, and automations for a fintech platform. Requires strong Python, production ML experience, advanced techniques like fine-tuning and RL, and ability to handle ambiguous problems.

## Job Description

## What You’ll Do

- Help build FINNY’s core models
- Design, train, and iterate on custom models that power data imputation, prospect and audience recommendations, campaign customization and personalization, and automations.
- Build & improve models in production
- Take models from research → experimentation → deployment → iteration
- Own offline evaluation, online metrics, and feedback loops
- Improve model performance over time through better objectives, features, and training strategies—not just more data
- Advanced modeling & experimentation
- Apply and adapt techniques such as:
  - Fine-tuning
  - RL methods (DPO)
  - Transfer learning and weak supervision
  - Synthetic data generation and augmentation
- Operate effectively in low-signal, noisy, or cold-start environments
- Contribute to ML systems & infrastructure
- Work with backend engineers to productionize models reliably and at scale
- Help define standards for model versioning, evaluation, deployment, and monitoring
- Influence long-term ML strategy and reduce technical debt in modeling workflows

## What We’re Looking For

**You’re a model builder at heart**
- You care deeply about how models learn, not just how pipelines run
- You’re comfortable reasoning about loss functions, tradeoffs, and evaluation
- You enjoy designing solutions when the problem is underspecified and data is imperfect

**You’re strong technically**
- Very strong **Python** with extensive hands-on experience building ML systems.
- Strong statistical and mathematical foundations.
- Proven experience training, fine-tuning, and deploying custom models into production, not just experimentation or offline research
- Experience designing loss functions, evaluation metrics, and validation strategies aligned with real-world product objectives
- Familiarity with model lifecycle management: versioning, reproducibility, monitoring, and iteration in production environments

**You’ve shipped ML systems before**
- You’ve taken models beyond notebooks and into real products
- You understand failure modes, monitoring, and iteration in production ML

**Startup experience**

**Your working style**
- You tackle ambiguity head-on and turn fuzzy problems into concrete experiments
- You move fast, iterate, and aren’t precious about first approaches
- You communicate clearly about model behavior, limitations, and tradeoffs

## Compensation & Benefits

FINNY offers a competitive compensation package including:
- Competitive salary and equity
- Medical, dental, and vision insurance
- Flexible paid time off
- 401(k)
- Food and meals provided in our NYC office
- Team offsites and events

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