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activeloop llc ยท 2 days ago
Senior AI/ML Growth Engineer
San Francisco, CA
Full-time
Onsite
Senior Level
$140K/yr - $180K/yr
5+ years exp
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Responsibilities
Machine Learning Model Development: Lead the development, training, and optimization of machine learning models using advanced algorithms and techniques, such as deep learning, reinforcement learning to solve complex business problems and drive strategic decision-making.
Data pre-processing and feature engineering: Perform advanced data analysis, data cleaning, and feature engineering to prepare large-scale, complex data sets for machine learning model training and validation. Identify and address data quality issues, data inconsistencies, and outliers to ensure robust model performance.
Model Evaluation and Selection: Define and implement comprehensive model evaluation frameworks, including cross-validation, A/B testing, and model monitoring, to rigorously evaluate and compare the performance of machine learning models. Select the best-performing models and optimize them to achieve optimal accuracy, precision, recall, and other relevant performance indicators.
Integration into ecosystem: Integrate deep lake into existing systems, applications, or APIs, and optimize for scalability, reliability, and real-time prediction and inference.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.
Strong programming skills in one or more programming languages, such as Python, or C++, and extensive experience with machine learning libraries, such as TensorFlow, PyTorch, Llama Index, Langchain etc.
At least 5-8 years of relevant experience in machine learning infrastructure or a related field such as data engineering, or DevOps.
Proven experience in developing and deploying complex machine learning models in production environments, including experience with cloud-based platforms, edge devices, or embedded systems.
Strong understanding of advanced machine learning algorithms, such as deep learning, reinforcement learning, RAGs, and ensemble methods, and experience with model optimization techniques, such as hyper-parameter tuning, model compression, and quantization.
Solid understanding of data pre-processing, feature engineering, and data quality assurance techniques, and experience with large-scale, complex data sets.
Excellent problem-solving skills and ability to analyze and interpret complex data sets to extract meaningful insights and drive decision-making.
Strong leadership and mentoring skills
Preferred
You have architected, built, and deployed distributed service that runs on large-scale clusters
You are a highly motivated, curious, hardworking explorer in the field of AI
You have a builder attitude and you love building cool things that matter
You're excited to work closely with the founding team in developing hyper-scalable software for ML
You can proactively identify and anticipate problems and provide tangible solutions
You enjoy the startup journey of building an endurable, scalable business
Benefits
Stock options upon board approval
Comprehensive benefits package including health, dental, vision coverage, retirement benefits, learning and development stipend, generous PTO
Company
activeloop llc
We are a small application development company headquartered in Seattle Washington.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
