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Machine Learning Data Engineer at Cultivo Land

Job Title: Machine Learning Data Engineer, Associate

Company: Cultivo Land

Location: Remote-first with flexible, cadenced in-person co-working days

Are you a talented Machine Learning Data Engineer? Join Cultivo Land and contribute to transformative projects aimed at regenerating ecosystems and tackling environmental challenges. Work closely with environmental scientists and software engineers to ensure smooth data collection, storage, and processing. Your role will be pivotal in developing and maintaining our data pipelines and infrastructure for machine learning projects.

About Cultivo Land

Cultivo Land is a nature-focused fintech company dedicated to driving investment in regenerative land projects. Our initiatives address climate change, biodiversity, and land degradation. We believe that nature investment is key to creating a sustainable and resilient future. Our diverse and inclusive work culture offers flexible working arrangements for all team members.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure for machine learning models
• Implement data collection and feature engineering processes using Google Cloud Platform (GCP)
• Collaborate with data scientists and engineers to deploy machine learning models
• Manage and optimize data storage and retrieval systems (BigQuery, Dataflow, Vertex AI)
• Perform data preprocessing, feature engineering, and analysis
• Monitor and optimize data pipelines for performance and reliability
• Ensure data quality and implement data governance best practices
• Stay updated with the latest trends and technologies in machine learning and data engineering

Candidate Requirements

Must-Have:

• 2+ years of experience as a data engineer, machine learning engineer, or related role
• Strong programming skills in Python
• Experience with SQL and Big Data technologies such as GCP BigQuery and streaming services
• Knowledge of machine learning concepts and algorithms
• Experience with data preprocessing, feature engineering, and analysis
• Strong problem-solving and analytical skills
• Experience with data visualization tools
• Comfortable working in a fully remote, distributed, global team

Nice to Have:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field
• Experience with cloud platforms like GCP
• Experience with geospatial data
• Knowledge of deep learning frameworks such as TensorFlow or PyTorch
• Interest in environmental science and sustainability

Benefits

• Opportunity to make a global impact and grow as an Engineer
• Competitive compensation package including equity options and annual bonus
• Access to health insurance and retirement plans
• Remote-first setup with periodic in-person co-working days
• Flexible work hours focused on results
• International office locations
• 6 months paid parental leave
• Flexible paid vacation
• Opportunities for personal and professional growth in an innovative and supportive environment

Ready to make a meaningful impact? to join the Cultivo Land team!