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Contract Meta Machine Learning Jobs in Austin, TX

NET-while applying data analysis and machine learning techniques to help merchants improve their ... Design and implement RESTful APIs and data contracts that support both real-time and batch ...

Enterprise Architect 3

Austin, TX · On-site

$68.50 - $88.25/hr

Austin, TX (anywhere in TX) Duration: Long Term Contract CANDIDATE SKILLS AND QUALIFICATIONS ... Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data ...

Senior Software Engineer II

Austin, TX · On-site

$121K - $160K/yr

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Senior Software Engineer II

Austin, TX · On-site

$121K - $160K/yr

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Senior Software Engineer II

Austin, TX · On-site

$121K - $160K/yr

In this role, you will collaborate with machine learning, product, and frontend teams to create ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

Texas Neos is Seeking a Data Architect for a contract role for with our client in Austin, TX. ** ... Develop and operationalize scalable architectures for collaborative notebooks, machine learning ...

Sr. ML Engineer

Austin, TX

$103K - $142K/yr

Senior ML Engineer This role will start as a 3 month contract but has a strong chance of extension ... We are seeking a Senior ML Engineer to help deploy machine learning models and build the Databricks ...

Tech Recruiter - Contractor

Austin, TX · Hybrid

$100K - $500K/yr

In this 12-month contract role , you'll partner closely with software engineering leaders to identify, attract, and hire exceptional talent across AI, machine learning, systems software, and related ...

NET-while applying data analysis and machine learning techniques to help merchants improve their ... Design and implement RESTful APIs and data contracts that support both real-time and batch ...

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Contract Meta Machine Learning information

See Austin, TX salary details

$14

$21

$25

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

As of Jun 17, 2026, the average hourly pay for contract meta machine learning in Austin, TX is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $22.64 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 the most commonly searched types of Meta Machine Learning jobs in Austin, TX? The most popular types of Meta Machine Learning jobs in Austin, TX are:
What are popular job titles related to Contract Meta Machine Learning jobs in Austin, TX? For Contract Meta Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Austin, TX look for? The top searched job categories for Contract Meta Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Contract Meta Machine Learning jobs? Cities near Austin, TX with the most Contract Meta Machine Learning job openings:
Infographic showing various Contract Meta Machine Learning job openings in Austin, TX as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 12% Part Time, 1% Temporary, and 10% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $43,973 per year, or $21.1 per hour.
Full Stack Software Engineer

Full Stack Software Engineer

Auctane

Austin, TX

Other

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

About the role

As a Full Stack Software Engineer on the ShipStation team, you'll own the development of data-driven features that turn shipping and logistics data into actionable insights for our customers. You'll work across the full stack-building responsive, intuitive interfaces with ReactJS and developing performant backend services in .NET-while applying data analysis and machine learning techniques to help merchants improve their business and shipping efficiency. You'll collaborate with product managers, designers, data scientists, and fellow engineers to deliver scalable solutions from conception through deployment.

About the team

The Auctane Software Development team is empowered with enhancing, modifying, and maintaining features and functionality associated with the Auctane suite of software products. 

What will you be doing?

  • Design and build full-stack features for the ShipStation Intelligence product line, delivering data-driven insights that help customers optimize their shipping operations.
  • Develop and maintain machine learning pipelines and models that surface patterns, predictions, and recommendations from large-scale shipping and logistics data.
  • Build dynamic, responsive user interfaces with ReactJS that present complex data and analytics in clear, actionable ways.
  • Architect and optimize robust backend services using .NET, ensuring scalability, reliability, and performance under high data throughput.
  • Perform exploratory data analysis to identify opportunities for new intelligence features and validate hypotheses before engineering solutions.
  • Design and implement RESTful APIs and data contracts that support both real-time and batch analytics workloads.
  • Use AI coding/testing tools to accelerate tasks; practice safe prompting, validate results with peers, and contribute learnings and tips to team docs.
  • Lead design review discussions for your area of ownership; drive technical decisions and communicate tradeoffs clearly to stakeholders.
  • Proactively identify technical debt, performance bottlenecks, and reliability risks, and advocate for addressing them.
  • Collaborate with cross-functional teams to define, design, and ship new features across the Auctane platform.
  • Write comprehensive automated tests-unit, integration, and end-to-end-to ensure correctness of data transformations and ML outputs.
  • Participate in and provide thorough code reviews, maintaining high code quality and encouraging best practices across the team.
  • Stay current with emerging trends in data engineering, machine learning, .NET, and ReactJS ecosystems, and bring relevant innovations back to the team.
  • Contribute to the evolution of team engineering practices, tooling, and architecture standards.
  • Other duties as assigned.

What are we looking for?

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or equivalent years of relevant work experience.
  • 4+ years of professional software development experience, with a strong background in .NET for backend development and ReactJS for frontend development.
  • Strong proficiency in both frontend development (ReactJS) and backend development (.NET/C#), with the ability to independently deliver end-to-end features.
  • Demonstrated experience with data analysis, statistical methods, or machine learning-comfortable working with large datasets to extract insights.
  • Familiarity with ML frameworks and libraries (e.g., ML.NET, scikit-learn, TensorFlow, or PyTorch) and an understanding of when and how to apply common algorithms.
  • Exceptional communication skills with the ability to explain complex technical and analytical concepts to both technical and non-technical audiences.
  • Strong understanding of SQL, relational database systems, and ORM frameworks, with experience writing performant queries against large datasets.
  • Experience designing and consuming RESTful APIs at scale.
  • Deep understanding of object-oriented design, SOLID principles, and software architecture patterns.
  • Experience with creating and maintaining automated tests in a test-driven development environment.
  • Experience with source control systems (Git), branching strategies, and CI/CD pipelines.
  • Comfortable working in an Agile development environment with a track record of delivering on commitments.
  • Self-directed and capable of driving work forward independently while knowing when to seek input from others.

What will make you stand out?

  • Experience building data pipelines, ETL processes, or analytics platforms.
  • Hands-on experience training, evaluating, and deploying machine learning models in a production environment.
  • Background in shipping, logistics, e-commerce, or supply chain domains.
  • Experience with event-driven architectures and streaming platforms (e.g., Kafka).
  • Experience with cloud-native development and containerized deployments.
  • Familiarity with data visualization libraries and techniques for presenting analytics to end users.
  • Contributions to open source projects or published work in data science/ML.

The Tech

  • C#, .NET 8, .NET Framework, PostgreSQL, Microsoft SQL Server, JavaScript (ReactJS & Node)
  • AWS, Kafka, ElasticSearch, Docker, Kubernetes
  • Python (data analysis & ML workflows), ML.NET or equivalent ML frameworks(run by Daly) 
  • Data visualization and BI tooling

What do we offer?

  • We are a hybrid company. All team members at Auctane in Austin come into the office Tuesdays, Wednesdays and Thursdays.
  • Take the reins of your time off with our Flex Time Off policy - because work-life balance should always be in your hands!
  • We offer 12 paid holidays for all of our US employees!
  • 401k employer matching program - because your future deserves a friendly boost!
  • We conduct annual merit reviews to recognize and reward your hard work and achievements.
  • Company events, we work hard, play hard! We do our best every day, even at our regular team-building events.
  • Attractive office space in the heart of central Austin, Texas (free drinks, snacks...).
  • Indulge in weekly catered lunches at our office - a delicious perk to fuel your work.
  • Health and Wellness: The well-being of our team is super important to us. Choose from different options that include medical, dental, and vision plans. 
  • Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc.
  • Employee Assistance Program. We offer up to 8 free mental health sessions. 
  • We offer gym discounts to help you stay fit and healthy!
  • We offer education reimbursement to all employees, ensuring that you can pursue your educational goals while excelling in your career with us. Invest in your future and let us support your growth every step of the way. 
  • Employee Referral Program! We reward employees helping us find top talent!
  • An inclusive, casual and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive.

Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.)

  • Sit for prolonged periods of time
  • Utilize wrist and hands for a prolonged period of time
  • Walk short distances
  • Stand for short periods
  • Speaking and conversing with others
  • Lift up to 25lbs without assistance up to chest height

Equal Opportunity Employer/Veterans/Disabled

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