Job Description

Join to apply for the Machine Learning Engineer II role at Invisible Technologies About Invisible Invisible Technologies is the AI training and scaling partner for leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Our AI Process Platform combines global human expertise, cutting-edge technology, and deep institutional knowledge, having trained 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we operationalize AI for real-world applications. Our growth earned us the #2 spot on the Inc. 5000 in 2024 with $134m revenue. About The Role We’re seeking a skilled Machine Learning Engineer to join our AI/ML team. You’ll work at the intersection of engineering, data science, and real-world impact—collaborating with clients and stakeholders to design and deploy ML-powered tools that solve meaningful problems. This role involves model development, backend engineering, and infrastructure work to build scalable systems, support R&D, and deploy machine learning solutions in production environments. What You’ll Do Develop and maintain reliable, scalable AI/ML systems and data pipelines. Manage and improve cloud infrastructure for model deployment and operational stability. Identify and solve engineering challenges, incorporating client feedback. Collaborate with ML engineers, data scientists, and external stakeholders to integrate ML into production. Support tooling and R&D to streamline experimentation, training, and model serving. What We Need 2+ years of experience in software or ML engineering, or data-focused development roles. Experience deploying ML models or supporting AI/ML workloads in production. Experience working with external stakeholders or in client-facing roles. Proficiency in Python and frameworks like PyTorch or TensorFlow. Familiarity with production ML systems, RAG pipelines, or agent-based applications is a plus. Strong understanding of data science concepts and cloud platforms (AWS, GCP, Azure). Experience with containerization tools like Docker and Kubernetes. Ability to write clean, modular code and develop automated tests. Experience with relational and NoSQL databases. Familiarity with MLOps principles, model tracking, monitoring, and versioning. Excellent communication skills and a collaborative mindset. Compensation Our salary structure reflects market conditions and individual value, with regional adjustments. The base salary range is $128,000 - $151,000. Bonuses and equity are available for roles above entry level. Final compensation depends on location, experience, skills, and market factors. Additional benefits will be discussed during hiring. What It’s Like To Work At Invisible We operate at the forefront of AI and human ingenuity, emphasizing ownership, innovation, and growth. We seek bold ideas and relentless drive. If you thrive in dynamic environments and want to shape the future of AI, you’ll fit right in. Additional Info We are a remote-first organization hiring globally, with some location-based eligibility requirements. We use AI ethically in our hiring process. We’re committed to providing accommodations for individuals with disabilities. We are an equal opportunity employer, considering all qualified applicants without discrimination. Job Details Seniority level: Entry level Employment type: Full-time Job function: Engineering and IT Industry: Software Development #J-18808-Ljbffr Invisible Technologies

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