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Sr Machine Learning Engineer Jobs in Raleigh, NC

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

The Senior Vision Software Engineer will actively communicate with project stakeholders and the ... Develop and implement machine learning derived software to solve business problems. * Integrate ...

Senior Google CX Engineer (GECX)

Durham, NC · On-site +1

$116K - $146K/yr

The Opportunity TELUS Digital is seeking a Senior Google CX Engineer to lead the architecture and ... Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... The Senior ITSMA Observability Engineer is responsible for the design and development of the ...

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are looking ... Clear communication skills and comfort working with senior engineers and technical leads * Passion ...

Operating at the intersection of applied machine learning, business strategy, and the modern data ... The role is a technical peer to the Lead Data Engineer and provides succession depth for senior ...

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Showing results 1-20

Sr Machine Learning Engineer information

See Raleigh, NC salary details

$57.8K

$123K

$178.4K

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

As of Jul 15, 2026, the average yearly pay for sr machine learning engineer in Raleigh, NC is $123,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $139,500.00 per year, depending on experience, location, and employer.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What are Sr Machine Learning Engineers?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

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

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
Senior Vision Software Engineer

Senior Vision Software Engineer

Targan Inc

Raleigh, NC • On-site

$119K - $157K/yr

Full-time

Re-posted 7 days ago


Job description

Position Summary

This role is responsible for serving as a core member the Vision Software Development team in both an R&D & Commercial capacity. The Senior Vision Software Engineer will actively communicate with project stakeholders and the Director of Vision to monitor/ improve production code deployments and collaborate with the broader team to develop new tools that leverage our existing codebase and technology to create innovative products. They will serve as a key resource, driving R&D as a senior developer that both contributes to project work and can mentor junior developers within the Vision Software Discipline.

Key Job Responsibilities

  • Develop and implement machine learning derived software to solve business problems.
  • Integrate commercial data with existing tooling to develop innovative solutions to company assigned project goals.
  • Collaborate with cross-functional teams to build proprietary tools.
  • Drive the development of new products by leveraging commercial data to meet market needs and company objectives.
  • Ensure the quality and accuracy of data and analyses through rigorous testing and validation processes.
  • Stay current with the latest advancements in machine learning, vision software and related fields to continuously improve methodologies and approaches.
  • Mentor junior software developers and provide guidance on best practices and advanced analytical techniques.
  • Communicate complex data insights and recommendations to non-technical stakeholders effectively.

Key Competencies & Skills

  • Experience in a commercial or industrial setting, particularly biotechnology.
  • Experience working with biological data.
  • Experience with computer vision.
  • Knowledge of regulatory requirements and data privacy considerations in handling biological and commercial data.
  • Ability to work in a fast-paced environment and adapt to changing priorities.
  • Solid understanding of machine learning tools and how to implement them in a software product.
  • Excellent problem-solving skills and ability to think critically and creatively.
  • Excellent communication skills, both written and verbal.
  • A high degree of integrity, ethics, and judgment.

Education and Experience Requirements

  • Bachelor’s degree in computer science, Data Science or a related field.
  • 8 - 10 years of experience working in software development, or related field.
  • Proficiency in Python and C# for software development.
  • Proficiency in SQL and experience with database management systems (e.g., MongoDB, PostgreSQL, MSSQL Server).
  • Experience working with cloud platforms such as Azure for container deployment/ orchestration and software versioning.


Working Conditions:

Work is performed inside a flex space building consisting of offices, open desk space, laboratory, machine shop, and a manufacturing floor. Level of noise is usually quiet in the office environment and temperature controlled. Noise levels are elevated in the warehouse space where temperatures can vary depending on the outside elements and weather. Travel may be required, including up to 2-8 trips per year to visit suppliers, attend conferences, meetings (customer, investor, and business) and customer sites (hatcheries).

All the above duties and responsibilities are essential job functions for which reasonable accommodation will be made. All job requirements listed indicate the minimum level of knowledge, skills, and/or ability deemed necessary to perform the job proficiently. This job description is not to be construed as an exhaustive statement of duties and responsibilities or requirements. Employees may be required to perform other job-related duties as requested by their supervisor. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.



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About TARGAN

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Morrisville, NC, US

Year founded

2015