Company: BespokeLabs (VC-backed, founded by IIT & Ivy League leaders)
Type: Contract | Remote | 2040 hrs/week | 816 weeks
Compensation: $25$40/hr
Experience: 5+ years
About BespokeLabs
BespokeLabs is a venture-backed startup founded by seasoned IIT and Ivy League alumni. We specialize in building cutting-edge, AI-driven systems and next-gen digital products. Our mission is to harness advanced machine learning to solve real-world problems with speed, precision, and scale.
We're looking for a Machine Learning Engineer with deep expertise in designing, training, and optimizing models to help accelerate our product roadmap. This is a high-impact contract role for someone who loves experimentation, cutting-edge research, and production-grade ML.
Role Overview
You will be responsible for building ML models end-to-endfrom problem framing, exploratory analysis, and feature engineering to experimentation, training, evaluation, and deployment support. You'll work closely with our product and engineering teams to translate high-level goals into robust ML solutions that can be integrated into real-world applications.
Key Responsibilities
- Design, build, and optimize machine learning models for classification, prediction, NLP, recommendation, or generative tasks.
- Run rapid experimentation cycles, evaluate model performance, and iterate continuously.
- Conduct advanced feature engineering and data preprocessing.
- Implement adversarial testing, model robustness checks, and bias evaluations.
- Fine-tune, evaluate, and deploy transformer-based models where necessary.
- Collaborate with engineering teams to prepare models for production use.
- Maintain clear documentation of datasets, experiments, and model decisions.
- Stay updated on the latest ML research, tools, and techniques to push our modeling capabilities forward.
Required Qualifications
- 5+ years of hands-on experience in machine learning model development.
- Proven expertise in building and deploying ML models in a production ML product company.
- Strong proficiency in Python, PyTorch/TensorFlow, and common ML/NLP frameworks.
- Solid understanding of ML fundamentalsstatistics, optimization, model evaluation, architectures.
- Experience with distributed training, ML pipelines, and experiment tracking.
- Strong problem-solving and algorithmic thinking.
- Experience with cloud environments (AWS/GCP/Azure).
Preferred Qualifications
- Published research papers (conference or journal).
- Strong track record in Kaggle competitions (medals or high-ranked submissions).
- Experience with LLM fine-tuning, vector databases, or generative AI workflows.
- Familiarity with MLOps tools (Weights & Biases, MLflow, Airflow, Docker, etc.).
- Experience optimizing inference performance and running models at scale.
What We Offer
- Opportunity to work with a world-class founding team and cutting-edge ML projects.
- Flexible remote contract (2040 hours/week).
- A fast-paced environment with room for innovation.
- Competitive hourly compensation with potential for future collaboration or full-time roles.
