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Contract Meta Machine Learning Jobs in Dallas, TX

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Duration: 12+ Months Contract Location: Irving, TX Salary: $65.00-$70.00/Hourly Role: Data ... In this role, you will build and deploy machine learning models, design and analyze A/B tests, and ...

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

... Claude, Meta Llama, or similar. * Prompt Engineering: Expertise in designing, testing, and ... Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

Irving, TX (Hybrid) Duration: Long term contract Responsibilities: Independently work on data ... of machine learning/statistical models and ensure best performance Work closely with machine ...

Judge Group, Inc.

Specialty Software Engineer

Irving, TX · On-site

$78 - $84/hr

Contract with potential for full-time conversion Authorization: Candidates must be authorized to ... Collaborate with data scientists and engineering teams to operationalize machine learning models ...

Genesis10

Specialty Software Engineer - Hybrid

Irving, TX · On-site

$71.88 - $79.88/hr

Experience developing machine learning solutions using diverse datasets, including advanced AI ... For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement ...

New

ERP SAVVY LLC

SAP ISLM Technical Consultant

Dallas, TX · On-site

$62.25 - $85/hr

Work with data scientists and business analysts to deploy predictive models and machine learning ... Ability to work onsite in Dallas, TX for the full duration of the contract. * Must be able to work ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Dallas, TX

Contract Meta Machine Learning information

See Dallas, TX salary details

$14

$21

$25

How much do contract meta machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for contract meta machine learning in Dallas, TX is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $22.60 per hour, depending on experience, location, and employer.

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

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What are Contract Meta Machine Learning professionals?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are popular job titles related to Contract Meta Machine Learning jobs in Dallas, TX? For Contract Meta Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Dallas, TX look for? The top searched job categories for Contract Meta Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Contract Meta Machine Learning jobs? Cities near Dallas, TX with the most Contract Meta Machine Learning job openings:
Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 15% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $43,885 per year, or $21.1 per hour.
ML / Bioinformatics Data Scientist

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 14 days ago

Job description

Position: ML / Bioinformatics Data Scientist

Location: Remote (PST work hours)

Duration: Long term contract

About the Role:

We are seeking a highly motivated and collaborative Bioinformatics/ML scientist to join the Computational biology & Medicine department in Computational Sciences COE (Center of Excellence) within Genentech’s Research and Early Development (gRED). The successful candidate will contribute to a cross-functional project that will apply Machine Learning (ML) models to multi-modal datasets collected from clinical trials. This role requires a deep understanding of application of Machine Learning models, a background in biology, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to have worked on previous ML modeling projects and applying them to multi-modal datasets to be considered.

About the Project:

The goal of this project is to develop a machine learning model to predict a patient's risk for drug-induced liver toxicity based on a wide variety of patient characteristics including clinical, genetics, omics and safety labs. The focus will be harmonizing these diverse data sources, deriving new features, and  building machine learning models designed to identify a predictive signature that can distinguish between at-risk and not-at-risk patient populations.

Key Responsibilities:

  • Data centralization and harmonization
  • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Educational Background:

  • PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) 

Experience:

  • Proven track record of working with statistical modeling techniques, including ML methods, is required
  • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred

Technical Skills:

  • Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required)
  • Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required).
  • Knowledge of statistics and experience with survival analysis (required)
  • Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred)

Soft Skills:

  • Excellent communication, collaboration, and problem-solving skills (required).

Publications:

  • Strong publication record and experience contributing to research communities.