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Full Time Senior Machine Learning Engineer Jobs (NOW HIRING)

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the ... Senior Machine Learning Engineer Position Summary: We are hiring a highly technical individual ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

As a Senior Machine Learning Engineer in Product & Technology, you will help Paylocity build and deploy Machine Learning solutions, to help our teams build better products faster, more reliably, and ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Corning

$95K - $130K/yr

As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...

Keebo

Senior Machine Learning Engineer

$125K - $165K/yr

About the Opportunity As a Senior Machine Learning Engineer, you will bring your expertise in ... For full-time positions: * Competitive salary packages * Equity * Home office stipend

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.

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 ...

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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 14, 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:
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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

Clearview AI

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Senior Machine Learning Engineer
Department: Engineering
Employment Type: Full Time
Location: New York, NY
Description
Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.
Senior Machine Learning Engineer
Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.
Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO

Requirements and Experience
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)

Benefits
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

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