Join to apply for the Senior Machine Learning Engineer role at Invisible Technologies Join to apply for the Senior Machine Learning Engineer role at Invisible Technologies Get AI-powered advice on this job and more exclusive features. About Invisible Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue. About Invisible Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue. About The Role We’re looking for a Senior Software Engineer with deep expertise in full-stack development with a strong emphasis on backend systems, model evaluations, and finetuning to join our team. In this role, you’ll support our AI-driven tool development and R&D efforts, playing a key part in building scalable systems and driving operational excellence. You'll help ensure our cloud infrastructure enables fast, reliable shipping and iteration of machine learning solutions. What You’ll Do You’ll join our Platform Engineering team, reporting to the Senior Engineering Manager of Evaluations & Finetuning, at a pivotal time of rapid growth. In this role, you'll focus on building and scaling backend infrastructure, optimizing cloud environments, and enabling our ML teams to deploy models more efficiently. Your work will play a critical role in improving the scalability, reliability, and performance of our models and overall platform. Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows What We Need Professional Experience: 5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production. Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads. Technical Expertise: Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development. Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications. Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads. Familiarity with Kubernetes and other container management tools. Ability to write well-structured, organized code and automated unit/E2E tests. Comfortable with polyglot persistence models (SQL vs. NoSQL). ML Operations: Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management. Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges Communication: Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers. What’s In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. For this position, the annual salary ranges by location are: Tier 1
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