2

Work From Home Full Stack Machine Learning Engineer Jobs in Blanco, TX

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Senior Full Stack AI Engineer Location: Austin, TX - must be local and onsite 4 days per week Duration: 6 month with potential to extend Compensation: $85-95/HR Work schedule: Monday-Thursday (8 AM ...

UX Engineer IV - (E4)

Austin, TX · On-site +1

$156K - $214K/yr

... work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at ... Contribute to full-stack development efforts where needed, ensuring seamless integration between ...

New

Showing results 21-40

Work From Home Full Stack Machine Learning Engineer information

See Blanco, TX salary details

$40.5K

$122.6K

$173.2K

How much do work from home full stack machine learning engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for work from home full stack machine learning engineer in Blanco, TX is $122,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $143,700.00 per year, depending on experience, location, and employer.

What is the difference between Work From Home Full Stack Machine Learning Engineer vs Work From Home Data Scientist?

AspectWork From Home Full Stack Machine Learning EngineerWork From Home Data Scientist
Required CredentialsBachelor's/Master's in CS, ML certifications, programming skillsBachelor's/Master's in CS, statistics, data analysis certifications
Work EnvironmentRemote, collaborative teams, software development focusRemote, research-oriented, data analysis and visualization
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research firms

While both roles often work remotely and require strong technical skills, Full Stack Machine Learning Engineers focus on developing and deploying ML models within software systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles overlap but differ mainly in their core responsibilities and technical focus.

What job categories do people searching Work From Home Full Stack Machine Learning Engineer jobs in Blanco, TX look for?

The top searched job categories for Work From Home Full Stack Machine Learning Engineer jobs in Blanco, TX are:

What cities near Blanco, TX are hiring for Work From Home Full Stack Machine Learning Engineer jobs?

Cities near Blanco, TX with the most Work From Home Full Stack Machine Learning Engineer job openings:

Infographic showing various Work From Home Full Stack Machine Learning Engineer job openings in Blanco, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,565 per year, or $58.9 per hour.

Senior Staff Full Stack Software Engineer

Cloudera

Austin, TX • Remote

Full-time

PTO

Re-posted 16 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.

The Cloudera Data Services On Premise Platform team seeks a passionate lead engineer to join our growing engineering team. The team is responsible for building out the market-leading management and orchestration plane for data at scale, on-prem, and in the cloud and is at the heart of Cloudera's hybrid story. The team's goal is to make the management of data products simple and develop functional capabilities for everyday users, operators, and admins to interact with the data in amazingly interactive ways. We are a team of top-notch engineers passionate about distributed systems, scalability, test-driven development, and user experience.

You will be responsible for architecting and driving cross-engineering initiatives for various Cloudera Data Services applications. Designed specifically for mission-critical environments, the Cloudera Data Services includes the Control Plane, Cloudera Manager, and several Data Experiences, which combine the best of Cloudera's management and data plane into a one-stop sophisticated data machine to orchestrate and scale workloads.

As a Senior Staff Full Stack Engineeryou will:

  • Work closely with Product Managers to drive a project's requirements and convert said requirements into technical designs

  • Produce high-fidelity design documentation and get sign-offs from architects on aligning the design along with delivering high quality code to create elegant, scalable, enterprise-quality cloud based application services

  • Execute the development of software with a strong focus on the security, performance, and robustness

  • Build strong relationships and collaborate with UI engineers, quality engineers, UX designers, Product Managers, SRE, Infosec and external partners

  • Hire, mentor and lead junior engineers by example

  • Work to enhance developer productivity and team agility

We are excited if you have (Required Experience):

  • 7+ years of experience building scalable applications with Golang and Java.

  • Solid hands-on experience with microservices development (gRPC, REST etc.), Object Oriented Programming System (OOPS), SQL and NoSQL databases, Messaging infrastructure, etc.

  • At least 5 years of development and production experience with Kubernetes (such as in an on-premise or Private Cloud environment), OpenShift, or other enterprise-grade private cloud platforms, Terraform, etc.

  • Should have some conceptual understanding of Enterprise networking aspects for on-premise and Private Cloud deployments (such as VLANs, Load Balancers, VPNs, Firewalls, and other datacenter networking concepts).

  • Experience in debugging connection problems. Knowledge of how TLS and PKI work.

  • Self-driven with a strong sense of ownership and craftsmanship along with high bias for action.

  • Strong written and verbal communication skills.

You may also have:

  • Experience with implementing Service Mesh such as Istio

  • Experience with certification/compliance standards such as Fedramp, CIS 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 or relocation.

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

EEO/VEVRAA

#LI-BV1

#LI-REMOTE