Amini
Forward Deployed Engineer / Solutions ML - 12 months contract
Amini, Newport Coast, California, United States, 92657
Forward Deployed Engineer - Machine Learning
Forward Deployed Engineers at Amini take on responsibilities similar to those of a startup CTO. You'll work in small, fast-moving teams and own the full lifecycle of high-stakes projects. In this role, you'll be involved in: Designing system architecture in collaboration with fellow engineers Working with large and complex datasets across diverse domains Developing and deploying machine learning models and scalable ML pipelines Building custom web-based tools or applications to support customer solutions Engaging with executive stakeholders to translate needs into technical deliverables Shaping team-wide technical direction and strategy If you're aspiring to become a founder, technical lead, or product-driven engineer, Amini offers a unique environment to grow rapidly
surrounded by some of the most ambitious and mission-driven minds in the industry. What We're Looking For: Strong technical foundation, ideally in Computer Science, Mathematics, Software Engineering, Physics, or Data Science Proven experience in solutions architecture, technical account management, or solutions engineering Proficiency in Python, Java, C++, TypeScript/JavaScript, or similar languages Hands-on experience developing and deploying machine learning models, building end-to-end ML workflows, and performing advanced data science and model evaluation tasks Excellent communication, presentation, and interpersonal skills Ability to manage multiple projects simultaneously and consistently meet deadlines Self-motivated, proactive, and adaptable, with a strong work ethic Empathy-driven approach with a genuine desire to understand and solve customer problems A highly analytical mindset and comfort working with data structures, cloud infrastructure, front-end frameworks, and storage systems Interest or experience in working with large-scale, real-world datasets Strong collaboration skills, and the ability to work effectively across technical and non-technical teams in fast-evolving environments
Forward Deployed Engineers at Amini take on responsibilities similar to those of a startup CTO. You'll work in small, fast-moving teams and own the full lifecycle of high-stakes projects. In this role, you'll be involved in: Designing system architecture in collaboration with fellow engineers Working with large and complex datasets across diverse domains Developing and deploying machine learning models and scalable ML pipelines Building custom web-based tools or applications to support customer solutions Engaging with executive stakeholders to translate needs into technical deliverables Shaping team-wide technical direction and strategy If you're aspiring to become a founder, technical lead, or product-driven engineer, Amini offers a unique environment to grow rapidly
surrounded by some of the most ambitious and mission-driven minds in the industry. What We're Looking For: Strong technical foundation, ideally in Computer Science, Mathematics, Software Engineering, Physics, or Data Science Proven experience in solutions architecture, technical account management, or solutions engineering Proficiency in Python, Java, C++, TypeScript/JavaScript, or similar languages Hands-on experience developing and deploying machine learning models, building end-to-end ML workflows, and performing advanced data science and model evaluation tasks Excellent communication, presentation, and interpersonal skills Ability to manage multiple projects simultaneously and consistently meet deadlines Self-motivated, proactive, and adaptable, with a strong work ethic Empathy-driven approach with a genuine desire to understand and solve customer problems A highly analytical mindset and comfort working with data structures, cloud infrastructure, front-end frameworks, and storage systems Interest or experience in working with large-scale, real-world datasets Strong collaboration skills, and the ability to work effectively across technical and non-technical teams in fast-evolving environments