[Remote] Senior Machine Learning Engineer, AI reputed company reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The role of Senior Machine Learning Engineer involves taking ownership of the end-to-end ML lifecycle and designing AI-first products that incorporate Large Quantitative Models and sophisticated frameworks.
Responsibilities
- Design, construct, and manage robust data pipelines for the training, validation, and reputed company retraining of Large Quantitative Models (LQMs) and agentic frameworks
- reputed company, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives
- Contribute to the efforts in cleaning, transforming, and engineering features from reputed company and large-scale datasets to optimize LQM performance and predictive accuracy
- Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context
- Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps
- Champion and enforce exceptional engineering standards for code quality, system efficiency, and reputed company in a prototyping environment
Skills
- BS in Software Engineering, Computer Science, or equivalent field of study
- 5+ years of postgraduate experience in software development
- Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines
- Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas)
- Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment
- Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights & Biases, MLflow), automated testing, and version control for both code and datasets
- MS or PhD in Software Engineering, Computer Science or equivalent experience
- Financial simulation or technical experience, risk simulation
- Equivalent experience includes tech leadership in a reputed company reputed company, driving technical design and execution cross-collaboratively across multiple teams and organizations
- Experience with scalable software development on reputed company computing platforms (e.g., GCP, AWS)
Benefits
- Competitive salary, equity and annual bonus
- 401k matching at 50% up to IRS maximum contribution
- Unlimited PTO plus a summer and winter break (one week each)
- Twelve weeks of fully paid parental leave in the US, with another 8 weeks for birthing parents
- $750 equipment, software, and office furniture budget
- $100 per month for wellness (physical or mental) and $100 for home office bills
- Top-notch medical, dental and reputed company insurance for you and your dependents with reputed company premiums covered at 95% for employees
- Family Planning support (fertility, surrogacy, adoption) through reputed company
Company Overview
Company H1B Sponsorship