Machine Learning Engineer

Position: Staff Machine Learning Engineer
is the first AI driven digital work platform designed to deliver smart, seamless, and secure work experiences from anywhere. We uniquely integrate industry leading solutions in Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—all unified through shared data, identity, administration, and automation services. Built on the vision of —self configuring, self-healing, and self-securing—Omnissa continuously adapts to how people work, optimizing user experience, IT efficiency, security posture, and cost.  

As a global private company with over 4,000 employees, we’re growing rapidly. If you're passionate about building AI systems that operate at a massive scale and shape the future of work, we’d love to meet you.
** Responsibilities
* *** What will you bring to Omnissa
*** Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
* text embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems
* Experience with distributed computing frameworks (e.g., Spark, Ray).
* Experience with orchestration frameworks (e.g., Lang Chain/Lang Graph) to build AI agents and multi-agent systems.
* Experience building feature stores or working with vector databases.
* Knowledge of real-time inference architectures and model monitoring systems.
* Experience developing scalable ML services via REST/gRPC.
*
* Location:

** Mountain View, CA or Atlanta, GA  
** Location Type:
** hybrid  
** Travel Expectations:
** None   
*
* Education:

** Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.
** Compensation:*
* * The typical base salary for this role is between
** USD $162,512 – $342,750
** per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.
*** Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:
** Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate.

Omnissa will not tolerate discrimination or harassment based on any of these characteristics. Omnissa welcomes applicants of all ages. Omnissa will provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal, state and local law.
** This job requisition is not eligible for employment-based immigration sponsorship by Omnissa.**- 5+ years of experience in machine learning engineering or data science roles.

Strong proficiency in Python and ML frameworks (e.g., PyTorch, Tensor Flow, Scikitlearn).

- Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).

- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).Handson experience with Large Language Models (LLMs), including fine tuning, prompt engineering, and deployment.

Knowledge of Strong problem-solving skills and the ability to collaborate effectively in Agile teams.

Highly motivated, adaptable, and…