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Staff Machine Learning Engineer Jobs (NOW HIRING)

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$202K - $274K/yr

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Remitly

Staff Machine Learning Engineer

Seattle, WA

$208K - $260K/yr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA

$202K - $274K/yr

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$10/hr

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Appgate

Staff Machine Learning Engineer

Manhattan, NY · On-site

$180K - $220K/yr

About the Role We are seeking an exceptional Staff Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform . You will architect ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site +1

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

Suki

Staff Machine Learning Engineer

Redwood City, CA · On-site

The Staff Machine Learning Engineer will drive innovation on the Machine Learning team, focusing on NLP and improving technical approaches to support healthcare professionals. Responsibilities : • ...

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Showing results 21-40

All JobsStaff Machine Learning Engineer Jobs

Staff Machine Learning Engineer information

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$23K

$99.3K

$192.5K

How much do staff machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for staff machine learning engineer in the United States is $99,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are the typical collaboration and leadership responsibilities for a staff machine learning engineer?

As a Staff Machine Learning Engineer, you often serve as a technical leader, partnering with cross-functional teams including data scientists, product managers, and software engineers to develop and deploy machine learning solutions. You will mentor junior engineers, conduct code reviews, and help establish best practices for model development and deployment. In addition to hands-on technical work, you may be responsible for evaluating new tools, contributing to the broader ML strategy, and facilitating knowledge sharing sessions. This collaborative and leadership-focused approach helps ensure consistency, quality, and innovation across machine learning projects.

What are the key skills and qualifications needed to thrive in the staff machine learning engineer position, and why are they important?

To thrive as a Staff Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, data analysis, and typically a strong academic background in computer science or related fields. Experience with Python, TensorFlow, PyTorch, cloud platforms, and a track record of delivering production-level ML systems are crucial, as are advanced degrees or relevant certifications. Strong leadership, communication, and mentoring skills help you effectively guide teams and collaborate across departments. These competencies are essential for designing robust ML solutions, leading technical initiatives, and ensuring successful project delivery in complex organizational environments.

What is a staff machine learning engineer?

A Staff Machine Learning Engineer is a senior-level technical role responsible for designing, deploying, and optimizing machine learning models at scale. They provide technical leadership, mentor other engineers, and drive best practices in ML system architecture. This role often involves collaborating with cross-functional teams, improving model performance, and ensuring the reliability of machine learning solutions in production. Staff ML Engineers typically have deep expertise in algorithms, data infrastructure, and engineering processes. Their work focuses on solving complex problems and influencing the broader ML strategy within an organization.

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Staff Machine Learning Engineer jobs near you
Infographic showing various Staff Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $99,330 per year, or $47.8 per hour.

Staff Machine Learning Engineer

Omnissa

Mountain View, CA • On-site

$162K - $342K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago

Job description

Job Description:
We are Omnissa!
Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.
Guided by our Core Values-Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value-we're growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we'd love to hear from you.
At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.
What is the opportunity?
Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team, the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
As a Staff Machine Learning Engineer, you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors. You'll work closely with engineering and product teams to operationalize models across our cloud scale environment while driving best in class ML engineering practices. You will own engineering initiatives end to end and help foster a culture of high ownership, continuous improvement, and engineering excellence. Here is a breakdown:
Responsibilities
  • Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
  • Build and maintain scalable data pipelines for model training, evaluation, and real time/batch inference.
  • Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
  • Collaborate with cross functional teams to integrate ML solutions into core platform features and services.
  • Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
  • Implement model observability, monitoring, and drift detection to ensure production reliability.
  • Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to product use cases.

What will you bring to Omnissa?
  • 5+ years of experience in machine learning engineering or data science roles.
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikitlearn).
  • Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).
  • Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Handson experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
  • Knowledge of text embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems
  • Strong problem-solving skills and the ability to collaborate effectively in Agile teams.
  • Highly motivated, adaptable, and eager to learn new technologies.

Preferred Skills
  • Experience with distributed computing frameworks (e.g., Spark, Ray).
  • Experience with orchestration frameworks (e.g., LangChain/LangGraph) 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.

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