Senior Machine Learning Engineer

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