Employer Industry: AI Development Tools

Why consider this job opportunity:
- Salary up to $186,000 per year
- Additional variable compensation in the form of a commission component based on personal or company performance
- Flexible time off and a remote-first culture with in-office flexibility in San Francisco
- Comprehensive medical, dental, and vision benefits for employees and family coverage
- Opportunity to work with leading machine learning teams and engage in ground-breaking research
- Home office budget and provision of a new high-powered laptop

What to Expect (Job Responsibilities):
- Implement effective, robust, and reproducible machine learning pipelines for engineering teams using the employer's tools
- Partner with customers to uncover their desired outcomes and serve as a trusted advisor
- Articulate product best practices for instrumenting machine learning pipelines to customers
- Provide product demos and workshops to establish technical success in the evaluation process
- Collaborate with Sales, Support, Product, and Engineering teams to influence product roadmap based on customer feedback

What is Required (Qualifications):
- 4-6 years of relevant experience in a similar role
- Experience using TensorFlow/Keras, PyTorch Lightning, or similar packages
- Strong programming proficiency in Python
- Excellent communication and presentation skills, both written and verbal
- Experience with cloud platforms (AWS, GCP, Azure) and Linux/Unix

How to Stand Out (Preferred Qualifications):
- Experience with GenAI and LLMs
- Proficiency with HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, or Ray
- Experience with hyperparameter optimization solutions
- Experience with data engineering, MLOps, and tools such as Docker and Kubernetes
- Experience as an ML educator or in conducting customer training sessions, product demos, or workshops

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