Lead Machine Learning Engineer @ AI/ML Web 3 Security Platform Empowering Dev Teams
Found in: Jooble US O C2 - 2 weeks ago
- Build end-to-end ML solutions into production
- Research, implement, iterate, collaborate, and produce features
- Collaborate with team to drive results
- Strong familiarity with language model training and fine-tuning.
- Experience in exploratory data analysis - techniques including clustering, statistical validation, identification of difficult-to-classify samples, etc.
- Desire to join a fast-moving engineering-centric work environment, and execute ideas quickly with autonomy.
- Desire to work on the cutting edge and engage deeply with the ML scientific community in San Francisco
- Deep knowledge of various loss functions, PEFT, and related techniques is a plus.
- Experience solving problems with imbalanced datasets (i.e. familiarity with focal loss, anomaly detection techniques, contrastive learning, SMOTE, etc.)
- Experience building model retraining pipelines/MLOps
- Research background and/or PhD/Masters in ML or CS
- Experience with lower-level code structures including ASTs, compilers, and intermediate representations
- Prior experience working in a fast-moving startup environment
- Experience enhancing the helpfulness of open-source models for specific downstream tasks, including RLHF/DPO
- Experience solving cybersecurity problems
- Familiarity with blockchain technology and smart contracts
- Proficiency with ensemble model techniques including bagging, boosting, and stacking, and MoE
- Top $$ Compensation
- Competitive Equity
- 100% covered health, dental, and vision for employee
- Education budget (materials, courses, conferences, meetups, hardware/software)
- Impact on the product being employee 4 of the company
- Career growth and a clear roadmap to promotion
- Life insurance/ disability
- Commuter benefits (1 MacBook Pro M2 16 inch 32GB RAM while employed)
- In-office provided lunches and snacks
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