Machine Learning Engineer II
Machine Learning Engineer II
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$ 128000 - 151000
1 Vacancy
Job Description
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. Invisibles unique AI Process Platform combines elite global human expertise cutting edge technology and deep institutional knowledge gained by training 80 of the worlds leading AI models. Trusted by AWS Microsoft and Cohere we have an unparalleled ability to operationalize AI for realworld applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024 closing the year on $134m revenue.
About The Role
Were looking for a skilled and driven Machine Learning Engineer to join our AI/ML team. In this role youll work at the intersection of engineering data science and realworld impactpartnering directly with clients and internal stakeholders to design and deploy MLpowered tools that solve meaningful problems.
This role combines handson model development with robust backend engineering and infrastructure work. Youll help build scalable systems support R&D initiatives and ensure rapid iteration and deployment of machine learning solutions in dynamic productionready environments.
What Youll Do
As part of the Forward Deployed Engineering team youll contribute during a phase of rapid growth as we focus on scaling models and improving platform performance. Youll help build backend systems support clientfacing deployments and enable smoother workflows for machine learning solutions.
- Develop and Maintain AI/ML Systems: Contribute to the development of reliable scalable backend systems that power machine learning workflows and data pipelines.
- Cloud Operations and Deployment: Help manage and improve cloud infrastructure to support efficient model deployment and operational stability in realworld environments.
- Technical Problem Solving: Participate in identifying and addressing engineering challenges including those surfaced through direct client feedback and usage.
- Collaborate Across Functions: Work closely with ML engineers data scientists and external stakeholders to integrate machine learning capabilities into production systems.
- Tooling and R&D Support: Assist in developing internal tools and infrastructure to streamline experimentation training and model serving across varied use cases.
What We Need
- Professional Experience:
- 2 years of experience in software engineering ML engineering or datafocused development roles.
- Exposure to deploying machine learning models or supporting AI/ML workloads in production environments.
- Experience in clientfacing roles or comfort working with external stakeholders.
- Technical Expertise:
- Proficient in Python with experience building ML models or working with frameworks like PyTorch TensorFlow or similar.
- Familiarity with building or supporting productiongrade ML systems such as RAG pipelines or agentbased applications is a plus.
- Solid understanding of core data science concepts including statistical modeling hypothesis testing and data exploration techniques to inform model development and evaluation.
- Experience with cloud platforms (AWS GCP Azure) and a solid grasp of deployment workflows and infrastructure best practices.
- Familiarity with containerization tools (e.g. Docker Kubernetes) is beneficial.
- Ability to write clean modular code and contribute to automated tests (unit integration and endtoend).
- Comfortable working with relational and/or NoSQL databases.
- ML Operations:
- Familiarity with MLOps concepts including model tracking monitoring and versioning.
- Understanding of how DevOps principles apply to ML model development and deployment.
- Strong communication skills and a collaborative mindset with the ability to engage effectively across internal teams and external client environments.
Whats 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.
- Tier 1: $128000 $151000
An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S. compensation will be adjusted to reflect local market conditions and costofliving differentials.
Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors including location jobrelated 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 Its Like to Work at Invisible:
At Invisible were not just redefining workwere reinventing it. We operate at the intersection of advanced AI and human ingenuity pushing the boundaries of whats possible to unlock productivity and scale. Ownership is at the core of everything we do. Here you wont just execute tasksyoull build innovate and shape the future alongside worldclass 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. Were not for everyone and were okay with that. If youre looking for predictable routines this isnt the place for you. But if youre driven to create thrive in dynamic environments and want a frontrow seat to the AI revolution youll fit right in.
Country Hiring Guidelines:
Invisible is a remotefirst organization and hires new team members in countries around the world. Although many of our roles are fully remote some roles may carry specific locationbased eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient engaging and inclusive interview process. Since AI can also be a helpful tool for candidates weve outlined expectations for using it ethically throughout your interview journey.Click here to learn more about how we use AI and our guidelines for candidates.
Accessibility Statement:
Were 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.
Equal Opportunity Statement:
Were 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 decisionmaker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decisionmaking 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 decisionmaking please contact us.
Employment Type
Full Time
