About the Role
We are looking for a seasoned Senior Machine Learning Engineer with deep expertise in full-stack development—especially backend technologies and Agentic AI. In this key role, you will support our AI-driven tool development and R&D efforts by ensuring operational excellence in our cloud environments, enabling rapid deployment and iteration of machine learning solutions.
What You’ll Do
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Develop and Maintain AI/ML Systems:
Build robust, scalable backend systems that power our machine learning operations and data processing pipelines.
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Optimize Cloud Operations:
Oversee and fine-tune our cloud infrastructure (AWS, GCP, or Azure) to ensure efficient ML model deployment.
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Solve Complex Problems:
Independently identify and resolve challenging technical issues to enhance system performance and scalability.
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Collaborate Cross-Functionally:
Work closely with ML engineers and data scientists to integrate advanced ML technologies and ensure seamless operations.
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Drive Innovation:
Contribute to research and development efforts by building new tools and processes that advance our AI capabilities.
What We Need
Professional Experience
- Minimum 5 Years:
Proven experience in software engineering with a strong focus on ML engineering and production deployment of machine learning models.
- Full-Stack Expertise:
Demonstrated success in backend development that supports AI/ML workloads.
Technical Skills
- Programming:
Strong proficiency in Python with hands-on experience in developing and deploying ML models, including LLMs and AI agents.
- System Design:
Experience designing scalable ML systems (e.g., retrieval-augmented generation pipelines and production-grade AI applications).
- Cloud Platforms:
Deep knowledge of cloud services (AWS, GCP, Azure) and best practices for ML operations.
- Containerization:
Familiarity with Kubernetes and other container management tools.
- Testing:
Ability to write well-structured, maintainable code and implement automated unit and end-to-end tests.
- Data Management:
Experience with both SQL and NoSQL databases.
ML Operations and Soft Skills
- MLOps Experience:
Knowledge of MLOps frameworks, including model versioning, monitoring, and lifecycle management.
- Problem Solving:
Ability to work independently in unstructured environments and tackle complex challenges proactively.
- Communication:
Excellent communication skills for effective collaboration with multidisciplinary teams.
What’s In It For You
Compensation
- Competitive Salary Tiers:
- Tier 1: $186,000 - $207,000
- Tier 2: $169,000 - $188,000
(For detailed location-based pay information, please visit invisible.co/join-us/pay-zones and confirm your tier with your recruiter. Compensation for non-U.S. candidates will reflect local market conditions.)
- Bonuses and Equity:
All offers include bonuses and equity. Final compensation is determined by location, experience, skills, internal equity, and market conditions, ensuring each offer is uniquely tailored.
Culture and Work Environment
At Invisible, we’re not just redefining work—we’re reinventing it. We merge advanced AI with human ingenuity to push the boundaries of productivity and scale. Here, you’re encouraged to build, innovate, and shape the future alongside world-class clients. We value bold ideas, a relentless drive, and the ability to transform ambiguity into opportunity. If you thrive in dynamic, fast-paced environments and want to be at the forefront of the AI revolution, you’ll fit right in.
Additional Information
Country Hiring Guidelines
- Global Recruitment:
All roles at Invisible are remote. However, some positions may have specific location-based eligibility requirements. Our Talent Acquisition team is available to answer any questions regarding your eligibility.
Accessibility Statement
- Commitment to Accessibility:
We provide reasonable accommodations for individuals with disabilities. If you require assistance during the recruitment process, please contact our Talent Acquisition team at [email protected].
Equal Opportunity Statement
- Equal Opportunity Employer:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected status.
Automated Decision-Making Notice
Due to a high volume of applicants, Invisible may use automated decision-making tools to screen candidates based on application responses. If you have any concerns about this process, please contact us.
Apply today and join us in shaping the future of AI!
