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Full Time Senior Machine Learning Engineer Jobs (NOW HIRING)

Quantiphi, Inc.

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Machine Learning Engineer Experience Level: 3-6+ yrs Work Location: Dallas, TX Role Overview: We are looking for a highly skilled Senior Machine Learning Engineer to lead the evolution of our ...

Zillow

Senior Machine Learning Engineer

$163K - $260K/yr

About the role As a Senior Machine Learning Engineer on the Agentic Data Foundations team, you will: * Architect and Build: Lead the design, prototyping, and deployment of scalable machine learning ...

Adobe

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Machine Learning Engineer to lead the development of ML models and systems to enhance content understanding, collaborating with cross-functional teams and providing ...

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud ...

Quantiphi, Inc.

Senior Machine Learning Engineer

$125K - $165K/yr

Senior Machine Learning Engineer Experience Level: 3-6+ yrs Work Location: Dallas, TX Role Overview: We are looking for a highly skilled Senior Machine Learning Engineer to lead the evolution of our ...

DailyPay

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning infrastructure and collaborate with cross-functional teams to deliver impactful ML solutions. Responsibilities ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

New

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

Hum AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Senior Machine Learning Engineer Location: San Francisco About Hum.ai Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building. Join us ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are where innovation meets purpose; and where your career can meet purpose as well.  We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training ...

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All JobsMachine Learning Engineer JobsFull Time Senior Machine Learning Engineer Jobs

Full Time Senior Machine Learning Engineer information

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$59.5K

$126.6K

$183.5K

How much do full time senior machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time senior machine learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Senior Machine Learning Engineer vs Data Scientist?

AspectFull Time Senior Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, creates reports for business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, healthcare, research

Full Time Senior Machine Learning Engineers focus on designing, building, and deploying scalable ML models, often working closely with engineering teams. Data Scientists analyze data, develop models for insights, and support decision-making. While both roles require strong analytical skills and knowledge of ML, engineers emphasize deployment and system integration, whereas data scientists focus on data analysis and modeling for insights.

What are Full Time Senior Machine Learning Engineers?

Full Time Senior Machine Learning Engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They often lead teams, set technical direction, and collaborate with data scientists, engineers, and stakeholders to solve complex problems using data-driven approaches. Their responsibilities include selecting appropriate algorithms, optimizing model performance, and ensuring that machine learning solutions are scalable and maintainable in production environments. Senior engineers typically have several years of experience and a strong background in programming, statistics, and machine learning theory.

What are the key skills and qualifications needed to thrive as a Full Time Senior Machine Learning Engineer, and why are they important?

To thrive as a Full Time Senior Machine Learning Engineer, you need expertise in machine learning algorithms, statistical analysis, programming (commonly Python or R), and a relevant degree such as computer science or engineering. Experience with tools like TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and often advanced certifications in ML or data science are highly valued. Strong problem-solving, leadership, and communication skills set top candidates apart by enabling them to lead projects and collaborate effectively across teams. These skills are crucial for designing scalable ML solutions, mentoring peers, and delivering impactful business outcomes.

What types of projects and cross-functional collaboration can a Full Time Senior Machine Learning Engineer expect in their role?

As a Full Time Senior Machine Learning Engineer, you’ll typically work on complex projects that involve designing, deploying, and optimizing machine learning models for real-world applications. You can expect to collaborate closely with data scientists, software engineers, product managers, and domain experts to define project requirements, integrate models into production systems, and iterate based on feedback. This collaborative environment not only fosters innovation but also provides opportunities to mentor junior engineers and contribute to strategic decisions, making the role both technically challenging and highly impactful within the organization.
More about Full Time Senior Machine Learning Engineer jobs
What cities are hiring for Full Time Senior Machine Learning Engineer jobs? Cities with the most Full Time Senior Machine Learning Engineer job openings:
What are the most commonly searched types of Senior Machine Learning Engineer jobs? The most popular types of Senior Machine Learning Engineer jobs are:
What states have the most Full Time Senior Machine Learning Engineer jobs? States with the most job openings for Full Time Senior Machine Learning Engineer jobs include:
What job categories do people searching Full Time Senior Machine Learning Engineer jobs look for? The top searched job categories for Full Time Senior Machine Learning Engineer jobs are:
Full Time Senior Machine Learning Engineer jobs near you
Infographic showing various Full Time Senior Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Quantiphi, Inc.

Remote

$125K - $165K/yr

Full-time

Re-posted 8 days ago

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don't just innovate - we lead.
Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We've been recognized with:
  • 17x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x AWS AI/ML award wins.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.
  • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
For more details, visit: Website or LinkedIn Page.
Role:Senior Machine Learning Engineer
Experience Level:3-6+ yrs
Work Location:Dallas, TX
Role Overview:
We are looking for a highly skilled Senior Machine Learning Engineer to lead the evolution of our core Python SDK frameworks and Agentic AI capabilities. In this role, you will be responsible for building production-grade tools that empower teams to deploy sophisticated autonomous systems. You will leverage the PyVegas App template and Galileo to deliver scalable solutions, bridging the gap between innovative agentic orchestration and robust, maintainable software architecture.
Key Responsibilities:
  • SDK Framework Development: Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks to expand functionality and improve developer experience.
  • User Support & Maintenance: Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem, ensuring stability, reliability, and seamless adoption across the organization.
  • Agentic Orchestration: Develop and scale agentic workflows using modern Agentic Frameworks to execute intricate business processes with minimal oversight.
  • High-Performance APIs: Architect and deploy scalable, high-performance APIs using FastAPI to serve as the backbone for machine learning services and agent interactions.
  • CI/CD Automation: Design and maintain robust automated pipelines using Jenkins and GitLab Runners to ensure continuous integration, testing, and deployment of ML tools.
  • Observability & Prototyping: Utilize Galileo for model evaluation and observability, ensuring that agentic workflows remain accurate, safe, and performant in production environments.

Basic Qualifications:
  • Programming & APIs: Mastery of Python and its machine learning ecosystem, with extensive experience building production-ready services via FastAPI.
  • Agentic Frameworks: Proficiency in building and scaling agentic workflows and multi-agent systems.
  • DevOps & CI/CD: Hands-on experience with Jenkins and GitLab Runners for automating software lifecycles and managing SDK distribution.
  • Internal Tooling: Experience working with standardized application templates (e.g., PyVegas) and evaluation platforms like Galileo.
  • Systems Design: Proven ability to design scalable infrastructure and maintain complex software frameworks used by other engineering teams.
  • Strong analytical skills to debug complex SDK interactions and logic loops.
  • Ability to collaborate with cross-functional teams to define requirements for autonomous systems and developer tools.
  • Proven ability to drive high-impact projects from research to production with minimal supervision.

Good to Have:
  • Contributions to open-source Python SDKs or Agentic AI projects.
  • Experience with MLOps practices for the continuous deployment of agentic systems.
  • Familiarity with containerization (Docker/Kubernetes) for deploying FastAPI-based microservices.

What's in it for YOU at Quantiphi:
  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
  • Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply