Senior Applied Machine Learning Engineer

Bangalore, India

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About the team:

The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques.

 

Senior Applied Machine Learning Engineer

 

The Senior ML Engineer is critical to the AI Core team by creating AI models from the ground up and steering model development through every stage, leading to the fulfilment of the research objective.

 

Responsibilities:

- Experiment with advanced architectures like CNNs, RNNs, transformers, autoencoders etc. appropriate for the research objective

- Develop training strategies (e.g., self-supervised learning, few-shot learning)
- Optimize loss functions and metrics for performance, manage hyperparameter tuning
- Optimize training pipelines and debug training failures
- Develop reproducible training/evaluation pipelines.  

 

Skills:

- Expertise in PyTorch/TensorFlow or other frameworks 

- Strong Python skills (NumPy, SciPy, scikit-learn) and GPU acceleration (CUDA, cuDNN)

- Experience with ML experiment tracking (W&B, MLflow etc.)

- Experience with RL frameworks (Stable Baselines3, Ray RLlib)

- Passion: Building AI agents with superior capabilities

 

Qualifications:

- Bachelor’s or Master’s degree in Data Science, Computer Science, or a related technical field.

- 8+ years of experience in machine learning and deep learning

- Prior roles within AI research teams

- Background in chemometrics, spectroscopy, or analytical chemistry, desirable

- Advantage: Networks involving very large matrix operations

About Picarro:

We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.

If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Chemistry Computer Science CUDA cuDNN Deep Learning GPU Machine Learning MLFlow ML models NumPy Pharma Pipelines Python PyTorch Reinforcement Learning Research Scikit-learn SciPy TensorFlow Transformers Weights & Biases

Region: Asia/Pacific
Country: India

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