TalentDome Staffing is partnering with a rapidly growing, Florida-based AI startup that is set to revolutionize compliance workflows in the financial services industry.
Our client is building a neutral compliance layer to manage complex, document-heavy processes at scale. They are a pre-Series A company with a small, highly technical team of 17 (including 3 in the US). They are looking for a hands-on, mid-level Machine Learning Engineer to join their core team, report to the Lead Solutions Architect, and work alongside the Senior Data Scientist (Scott).
This is a
100% "hands-on-keyboard" role
. We are looking for a "doer" who is passionate about building, training, and deploying models from the ground up.
What You’ll Do
As a core Machine Learning Engineer, you will be responsible for the entire model lifecycle. You won't just be running analytics; you'll be building the engine.
- Design, build, train, and deploy machine learning models using PyTorch (preferred) and TensorFlow.
- Own the end-to-end model development process: from data gathering and feature engineering (handling outliers, normalization) to training and implementation.
- Perform rigorous model evaluation and validation, and be able to clearly explain your choice of metrics (e.g., F1-score, ROC/AUC, Accuracy vs. Precision ).
- Work with a variety of model architectures (Transformers, CNNs, RNNs, XGBoost, etc.) to find the best solution for the problem.
- Collaborate closely with the senior data science and architecture team to rapidly prototype, iterate, and ship models to production.
What You'll Bring (The "Must-Haves")
We are looking for a mid-level engineer with a "startup attitude." The right mindset is more important than years of experience.
- Experience: 3-5 years of hands-on experience as a Machine Learning Engineer.
- Core Skill: A strong, practical understanding of PyTorch (highly preferred) and/or TensorFlow.
- ML Fundamentals: Deep, practical knowledge of ML fundamentals. You must be able to confidently explain the difference between accuracy and precision, what an F1-score is, and how to read a ROC curve.
- Proven "Builder": You must have experience building and training models "from the ground up," not just running analytics in a notebook or using pre-built APIs.
- Feature Engineering: Strong skills in feature engineering, including handling outliers, normalization, and cleaning skewed data.
- Startup Attitude (Essential): You are a "doer" who is passionate, driven, and independent. You thrive in a fast-paced environment, are willing to wear multiple hats, and have an "ask for forgiveness, not permission" mentality.
What We Offer
- A competitive base salary of up to $180,000 USD .
- Meaningful equity in a high-growth company.
- A comprehensive benefits package.
- A 100% fully remote work environment.
Please note:
We are not able to provide visa sponsorship for this position at this time.