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Contract Machine Learning Software Engineer Jobs

WHOOP

Software Engineer, Machine Learning

Boston, MA · On-site

WHOOP is a company focused on health and fitness technology, and they are seeking a Software Engineer specializing in Machine Learning. The role involves designing, developing, and deploying machine ...

Whoop

Software Engineer, Machine Learning

Boston, MA · On-site +1

$150K - $215K/yr

... Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production. Will also ...

Whoop

Software Engineer, Machine Learning

Boston, MA

$150K - $215K/yr

... Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production. Will also ...

Whoop

Software Engineer, Machine Learning

Boston, MA · On-site

$150K - $215K/yr

... Software Engineering or related technical field (or foreign degree equivalent) and 5 years of experience developing and delivering machine learning models and algorithms into production. Will also ...

Geico

Machine Learning Engineer II

Bethesda, MD · Hybrid

$105K - $215K/yr

Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...

Nvidia

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning fundamentals and software ...

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All JobsContract Machine Learning Software Engineer Jobs

Contract Machine Learning Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do contract machine learning software engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for contract machine learning software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

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

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

Which 5 jobs will survive AI?

For a Contract Machine Learning Software Engineer, roles that involve complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research, data science, cybersecurity, software architecture, and technical consulting. These jobs require specialized skills, domain expertise, and adaptability that AI tools currently cannot fully replicate. Continuous learning and proficiency with AI and machine learning tools will help maintain relevance in this evolving field.

What engineers make $500,000?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working with cutting-edge AI technologies. Compensation at this level reflects the complexity and impact of the work, often including bonuses and stock options.

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

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How much do contract software engineers make?

Contract machine learning software engineers typically earn between $50 and $150 per hour, depending on experience, location, and project complexity. Rates can vary based on skills in specific frameworks, tools, and the duration of the contract.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
What cities are hiring for Contract Machine Learning Software Engineer jobs? Cities with the most Contract Machine Learning Software Engineer job openings:
What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
What states have the most Contract Machine Learning Software Engineer jobs? States with the most job openings for Contract Machine Learning Software Engineer jobs include:
Contract Machine Learning Software Engineer jobs near you
Engineer III, Machine Learning Software

Engineer III, Machine Learning Software

Samsung Electronics

Mountain View, CA

$208K - $240K/yr

Other

Posted 12 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

111th of 139 rated electronics manufacturers

Job description

Position Summary

Role and Responsibilities

MULTIPLE POSITIONS AVAILABLE

Company: SAMSUNG ELECTRONICS AMERICA, INC.

Position Title: Engineer III, Machine Learning Software

Location: Mountain View, CA

Job ID: SAM9441233

Position Responsibilities:

Work as a tech lead to deliver end-to-end Machine Learning solutions to effectively drive business and technical initiatives. Design, build, and productionize machine learning models to solve complex problems in areas like ad targeting and performance prediction. Utilize statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth. Collaborate closely with ML engineers to define, refine, and improve existing machine learning products and features. Take ownership of data science projects from inception to production, ensuring scalability and reliability. Effectively communicate complex technical findings and insights to both technical and non-technical audiences, including leadership, product owners, and engineering teams. Proactively examine business health of and identify product bottlenecks in the entire Samsung Ads ecosystem to unveil new business opportunities, help strategic decision making, and suggest technical solutions that can streamline workflows, improve user experiences, and open new avenues for growth through data analysis.

Position Requirements:

Ph.D. degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a related field and three years of research or work experience in the job offered or as a Research Scientist, Data Scientist, Machine Learning Engineer or another related occupation. Must have three years of research or work experience in the following skills: (1) experience in the full lifecycle of machine learning model development from feature engineering to production deployment; (2) proficiency with all of the following algorithms: (a) DNNs, (b) RNNs, (c) LSTMs, (d) Gradient Boosting, (e) XGBoost, (f) SVMs, (g) VAR, (h) NNAR, and (i) Logistic Regression, and the ability to select the optimal approach for a given problem; (3) programming with Python or Go; (4) deep understanding of data manipulation libraries including (a) Pandas, (b) NumPy, and (c) Scikit-learn, and experience building production code; (5) experience with version control systems including Git and CI/CD pipelines for automated model deployment; (6) experience in data wrangling and integration; (7) experience identifying, accessing, and integrating diverse data sources, including proactively addressing data limitations and extending data applicability; (8) demonstrated experience in data quality assessment and remediation; (9) hands-on experience with Spark and AWS data processing services; (10) experience building and automating ETL pipelines using workflow management tools including Airflow; (11) experience problem framing and solution design including the ability to translate business problems into well-defined data science problems and design innovative solutions. Partial telecommuting permitted; employees will be required to report to office multiple days per week.

Hours: Full Time, 40 hours/week. Salary Range: $208,328/year to $240,000/year

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Skills and Qualifications

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At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process.If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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