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Remote Machine Learning Engineer Jobs in Cedar Park, TX

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... software engineers. Not only do we offer a great team to work with, but we also offer you an ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Kake Group

Senior Software Engineer

Austin, TX · Remote

$125K - $165K/yr

We are looking for Senior Software Engineers to join our team and contribute to engineering ... remote environment Nice to Have * Experience working on AI, machine learning, or LLM-related ...

Victory

Data Scientist

Austin, TX · On-site +1

Create predictive models and machine-learning algorithms * Modify and combine different models ... Work together with engineering and product development teams Data Scientist requirements are: * 3+ ...

HEB

Senior Software Engineer-Engineering Enablement

Austin, TX · On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

Rokt

Senior Software Engineer

Austin, TX · Remote

$335K - $400K/yr

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Willingness to work 4 day in-office, 1 day remote weekly schedule. + Experience relevant to one or ...

Rokt

Senior Software Engineer

Austin, TX · Remote

$335K - $400K/yr

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Willingness to work 4 day in-office, 1 day remote weekly schedule. + Experience relevant to one or ...

HEB

Senior Software Engineer-Engineering Enablement

Austin, TX · On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Cedar Park, TX

Remote Machine Learning Engineer information

See Cedar Park, TX salary details

$29.6K

$121.1K

$182K

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

As of Aug 8, 2026, the average yearly pay for remote machine learning engineer in Cedar Park, TX is $121,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $145,800.00 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 are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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?

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.

What are the most commonly searched types of Machine Learning Engineer jobs in Cedar Park, TX? The most popular types of Machine Learning Engineer jobs in Cedar Park, TX are:
What cities near Cedar Park, TX are hiring for Remote Machine Learning Engineer jobs? Cities near Cedar Park, TX with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Cedar Park, TX as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,087 per year, or $58.2 per hour.

Senior Engineering Manager, Enterprise AI

Cloudera

Austin, TX • Remote

Full-time

PTO

Posted 22 days ago

Job description

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

Cloudera is looking for a Senior Engineering Manager with a strong technical background to help manage the team(s) located in Santa Clara, California or in North America to help drive the development of Cloudera's next-generation AI and machine learning platform. You will be responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale.

We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth.

Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.

As a Senior Engineering Manager you will:

  • As a Senior Engineering Manager you would be responsible for working with Product Managers to define what capabilities should be built in the product

  • You will have to work with Product Managers to understand customer use cases and help them use our products effectively

  • You will be responsible for the growth of your reports

  • You should be able to fill in, to address gaps in process / practices followed by the team / organization

  • As a leader you should be able to lead by example

We are excited if you have (Required Experience):

  • 10+ years of experience in building enterprise software and 4+ years of management experience

  • Bsc/Msc in related field or equivalent experience

  • Experience building enterprise AI infrastructure and deploying production generative AI applications & agents leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.)

  • Strong written and oral communication skills

  • Good understanding of Engineering best practices

  • Experience with containerization frameworks like Kubernetes, Docker

  • Strong Understanding of Distributed Systems and building systems at scale

  • Should be able to drive the architecture/design and provide technical direction & guidance to the team

  • Self-driven and motivated, with a strong sense of ownership and craftsmanship

You may also have:

  • Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.)

  • Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)

  • Experience with cloud technologies (AWS, GCE, Azure)

  • Experience using Big Data technologies like Spark, Hive etc

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

This role is not eligible for immigration sponsorship

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

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