
Senior Machine Learning Engineer, AI Research
Posted Jun 19

Posted Jun 19
This is a fully remote position, open to applicants in California.
• Design, train, and assess machine learning models across various research and applied AI projects.
• Conduct rapid, iterative experiments to evaluate hypotheses and uncover insights that enhance model performance.
• Work collaboratively with researchers and engineers to transform leading academic innovations into practical, deployable systems.
• Develop and sustain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation.
• Improve model efficacy through fine-tuning, hyperparameter optimization, and architectural experimentation.
• Foster a culture of thorough experimentation by tracking outcomes, documenting insights, and sharing knowledge with the wider team.
• Stay updated on the latest advancements in ML and AI research, proactively identifying opportunities for their application.
• This role may require standby, on-call, or after-hours responsibilities during critical research or deployment phases.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related discipline with 4+ years of industry or research experience (Master's or PhD preferred).
• Extensive hands-on experience in training and evaluating ML models, including language models.
• Strong expertise in Python and ML frameworks such as PyTorch or TensorFlow.
• Familiarity with MLOps tools and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar).
• Solid understanding of contemporary NLP, computer vision, and/or reinforcement learning methodologies.
• Ability to move quickly without compromising quality; you know when to prototype and when to implement in production.
• Exceptional communication skills, capable of clearly presenting experimental findings to both technical and non-technical audiences.
• Health, dental, vision, short-term disability, and life insurance.
• Paid holidays and paid time off.
• Fertility treatment benefits.
• 401(k) plan.
• Equity opportunities.
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