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Senior Machine Learning Engineer at Invisible Technologies: Build robust backend systems, optimize cloud infrastructure, and collaborate on advanced ML technologies.
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Invisible Technologies
Invisible Technologies is seeking a Senior Machine Learning Engineer with 5+ years of experience in full-stack development, particularly in backend technologies and Agentic AI. The role involves building robust backend systems, optimizing cloud infrastructure, and collaborating with ML engineers and data scientists to integrate advanced ML technologies. The company offers competitive pay, bonuses, and equity, as well as a dynamic work environment that encourages innovation and growth. As a remote position, the Senior Machine Learning Engineer will have the opportunity to work with a talented team and contribute to groundbreaking projects in AI-driven tool development and R&D initiatives.
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 #3 spot on the Inc. 5000 in 2024, closing the year on $134m revenue.
About The Role
We are seeking a highly skilled Senior Software Engineer with a strong background in full-stack development, particularly in backend technologies and Agentic AI, to join our AI/ML team. This role is pivotal in supporting our AI-driven tool development and R&D initiatives, focusing on operational excellence in cloud environments to facilitate rapid shipping and iteration of machine learning solutions.
What You’ll Do
Sitting in our Engineering team reporting to the AI Tech Lead, during a period of high growth as we focus on scalability and performance of our models and platform working on building out backend infrastructure, optimizing cloud infrastructure to enabling ML team to deploy models more effectively.
What We Need
What’s In It For You
Compensation:
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 more information on which locations are included in each of our geographic pay tiers, please visit invisible.co/join-us/pay-zones. However, we recommend confirming the specific tier for your location with your recruiter. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.
Bonuses and equity are included in all offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.
What It’s Like to Work at Invisible:
At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.
Country Hiring Guidelines:
Invisible hires new team members in countries around the world. All our roles are remote. However, some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Accessibility Statement:
We’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at [email protected].
Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
