Phaidra provides AI and ML solutions to accelerate performance in large-scale industries.
Phaidra's core mission is centered around revolutionizing the industrial sector by harnessing the power of artificial intelligence and machine learning. Their primary objective is to optimize operational efficiency, reduce costs, and improve overall performance for businesses in the manufacturing and process industries. By developing cutting-edge AI solutions, Phaidra aims to empower organizations to make data-driven decisions, streamline processes, and foster a culture of continuous innovation and growth.
- Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
- Phaidra is a 100% remote company with a digital nomad policy.
- Competitive compensation & equity with an early exercise option.
- Outsized responsibilities & professional development.
- Training is foundational; functional, customer immersion, and development training.
- Medical, dental, and vision insurance (exact benefits vary by region).
- Unlimited paid time off, with a minimum of 20 days off per year requirement.
- Paid parental leave (exact benefits vary by region).
- Home office setup stipend and company MacBook.
- Monthly internet reimbursement.
- Innovation: Phaidra values innovation and encourages employees to think outside the box, experiment with new ideas, and push boundaries to create cutting-edge technology.
- Collaboration: Collaboration is key to Phaidra's success, with a focus on teamwork, communication, and mutual respect to achieve shared goals.
- Diversity & Inclusion: Phaidra is committed to creating a diverse and inclusive workplace, where all employees feel valued, respected, and empowered to contribute their unique perspectives and experiences.
- Customer Focus: Phaidra puts its customers first, striving to understand their needs and deliver exceptional products and services that exceed their expectations.
- Continuous Learning: Phaidra values continuous learning and growth, providing opportunities for employees to develop their skills, knowledge, and expertise through training, mentorship, and career advancement programs.
Software Engineer (Machine Learning