The company, humani, is focused on building trust through technology and aims to create a more humane future.
They are seeking a Senior Machine Learning Engineer to lead the development of models and pipelines for digital trust.
The role involves working with time-series data, behavioral signals, and generative models to create a secure authentication system.
This is a remote, part-time, hourly-paid position, requiring quarterly team gatherings in a major EU city for alignment and collaboration.
Responsibilities include designing, training, and optimizing ML models, implementing Gen AI techniques, collaborating with security engineers and product managers, developing resilient data processing pipelines, ensuring fairness and transparency, anticipating threats, contributing to an MLOps culture, and mentoring junior engineers.
Requirements:
Candidates should have 5+ years of experience in machine learning, AI, or applied data science, with a portfolio of production models.
Experience in specific companies such as Google Research India, Microsoft Research India, Amazon AI, and others is preferred.
Proficiency in Python and frameworks like PyTorch or TensorFlow is required.
Deep familiarity with cloud platforms such as AWS, GCP, or Azure is necessary.
A background in behavioral biometrics, time-series modeling, or generative AI is essential.
Experience in cybersecurity or digital authentication systems is a bonus.
Candidates should possess a mindset that views ambiguity as potential, strong communication skills, and a desire to lead with ethics and empathy.
An MSc or PhD in a quantitative field or an equivalent proven path of practical excellence is required.
Benefits:
The position offers freedom to work on your own time without micromanagement or pressure to leave your day job.
Compensation is strong and hourly paid, with transparency and consistency.
Team members meet face-to-face every quarter in a major EU city for three days of collaboration and bonding.
The company values a people-first, family-first, and ethics-first approach.
Diversity is embraced, with team members coming from various countries united by a shared purpose.
The focus is on building technology that earns trust rather than on growth hacking or vanity metrics.
