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Remote Machine Learning Engineer Jobs in Round Rock, TX

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ... Opportunities to conduct mission-critical field work This position offers a fully remote work ...

The Role As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on ... This position offers a fully remote work environment, or you can work hybrid/on site at our office ...

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Remote Machine Learning Engineer information

See Round Rock, TX salary details

$29.4K

$120.1K

$180.4K

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

As of Jun 12, 2026, the average yearly pay for remote machine learning engineer in Round Rock, TX is $120,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $144,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
What are the most commonly searched types of Machine Learning Engineer jobs in Round Rock, TX? The most popular types of Machine Learning Engineer jobs in Round Rock, TX are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Round Rock, TX? For Remote Machine Learning Engineer jobs in Round Rock, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Round Rock, TX look for? The top searched job categories for Remote Machine Learning Engineer jobs in Round Rock, TX are:
What cities near Round Rock, TX are hiring for Remote Machine Learning Engineer jobs? Cities near Round Rock, TX with the most Remote Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Shipwell

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

About Shipwell

At Shipwell, we empower supply chain efficiency and service effectiveness at scale. The Shipwell platform includes capabilities previously out of most shippers' technical reach and affordability today. Our solution combines everything shippers need, from transportation management and visibility to procurement, in a comprehensive, easy-to-use platform. It will adapt and scale as market and business demand change, allowing shippers to operate, manage, and optimize the shipping process seamlessly. Industry experts have recognized Shipwell's traction in the market and have differentiated Shipwell as a leader in the logistics industry. Awards include Gartner Magic Quadrant for TMS 2025, 2024, 2023, 2022, 2021, Food Logistics' 2024 Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for Innovation and Disruption in Freight Industry. Shipwell was also named the fourth fastest-growing company in North America on the 2021, 2022, and 2023 Deloitte Technology Fast 500 and Forbes 2020 Next Billion-Dollar Startup.

Our Culture

Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us!

About the Role

As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data pipelines and ML infrastructure that power our autonomous digital workers and drive data-driven decision-making across the organization.

Your work will span the full machine learning lifecycle—from extracting and transforming data from diverse sources to implementing production-grade ML models in our cloud environment. You'll optimize our AWS infrastructure, establish data integrity standards, and create scalable architectures that enable research teams to access the data they need. Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level.

This is a dynamic opportunity to become the expert on Shipwell's ML and data infrastructure, make critical technical decisions, and contribute to projects at the forefront of GenAI and machine learning in the logistics industry. You'll own the processes you create and have the opportunity to grow your skills while revolutionizing how the supply chain operates.

What we're looking for:

  • Experience designing and implementing ML models and maintaining relevant data in AWS
  • Experience working with DevOps to enable your team access to the tools they need
  • Contributing to every part of the machine learning product lifecycle
  • Proven track record of implementing data engineering best practices in all aspects of the data pipeline, i.e. ETL, data integrity, and monitoring
  • Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling
  • Experience working with large-scale data model refactoring for better performance, interpretability, and maintainability
  • Experience with version control tools (GitHub, GitLab) and Agile methodologies.
  • Experience with agentic tooling and pipelines including LangChain, LangGraph, and LangSmith
  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or demonstrated equivalent quantitative experience.
  • Excellent communication skills to effectively collaborate with different teams within the engineering org
What you'll do when you get here:
  • Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level
  • Right at the start you will be contributing to existing ML projects, creating and maintaining the data pipelines they need, and communicate the results to the organization
  • You will own all of the data and ML processes you create
  • You will become the expert on our machine learning and data infrastructure and make critical decisions in our path forward
  • You will have the opportunity to grow your skill set and take part in projects at the forefront of GenAI, ML, and data science in the logistics industry

Why Shipwell:

  • Enjoy working remotely with the added perk of a home office reimbursement
  • Unlimited Paid Time Off (PTO)
  • A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&D coverage, and flexible/health savings accounts
  • 401K program where Shipwell matches up to 4%
  • All employees receive stock options
  • A yearly learning and development budget
  • Subsidized internet, cell phone, fitness, and educational reimbursements
  • Virtual team-building events where fun and connection take center stage
  • Join a vibrant, inclusive workplace shaped by friendly, talented individuals
  • Receive a technology package, including a MacBook Pro
  • Employee Recognition Program to celebrate and incentivize hard work and success!

The Salary Range for this role is between $130-$163K per year with bonus upside. Compensation is based on several factors, including market location, job-related knowledge, skills, and experience.

Shipwell is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and believe that experience comes in different forms. Diversity in our team makes for better problem-solving, more creative thinking, and ultimately, a better product and company culture.

Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast-paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard-working & good at what you do, then please come as you are. We want you to contribute, grow, & learn at Shipwell.

We are looking forward to adding new perspectives to our team!

Shipwell employees will only ever email you about this position from a @shipwell.com email address.

For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellinc