Senior Software Engineer, Machine Learning
Standard Bots300,000 - 350,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software DevelopmentIndustries
Requirements
Candidates should possess 5+ years of experience in AI/ML engineering or related roles, strong proficiency in programming languages such as Python, and expertise in machine learning methodologies including supervised and unsupervised learning, reinforcement learning, and deep learning. They should also have experience with data preprocessing, feature engineering, and model evaluation techniques, along with knowledge of cloud-based machine learning services (AWS, Azure, GCP) and deployment strategies, and understanding of MLOps practices.
Responsibilities
The Senior AI/ML Engineer will be responsible for designing and building scalable AI/ML models using frameworks like TensorFlow, PyTorch, or Scikit-Learn, implementing robust data pipelines, collaborating with cross-functional teams, conducting experiments to validate model effectiveness, overseeing model deployment and monitoring, mentoring junior engineers, and staying current with advancements in AI/ML. They will also be involved in the entire development lifecycle, from data wrangling to model deployment, embodying the principles of MLOps to ensure smooth and scalable implementations.
Skills
Python
TensorFlow
PyTorch
Scikit-Learn
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Deep Learning
Data Preprocessing
Feature Engineering
Model Evaluation
AWS
Azure
GCP
MLOps
CI/CD
Containerization
Orchestration
Problem-Solving
Team Collaboration
Mineral
Develops AI tools for sustainable agriculture
About Mineral
Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.
Key Metrics
Mountain View, CaliforniaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Food & Agriculture, AI & Machine LearningIndustries
51-200Employees