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Remote Machine Learning Ops Engineer Jobs in Austin, TX

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 ...

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 ...

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 ...

Staff Data Engineer

Leander, TX · On-site +1

$130K - $150K/yr

Machine Learning: We are committed to using the power of data to support important causes ... and remote work policies Company issued Mac products for home offices Cell phone service ...

Meta is hiring ASIC Design Verification Engineer within the Infrastructure organization. We are ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Staff Software Engineer

Austin, TX · On-site +1

$470K - $615K/yr

The Rokt ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Hybrid work structure Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible ...

Staff Software Engineer

Austin, TX · On-site +1

$470K - $615K/yr

The Rokt ecommerce Network leverages proprietary machine learning recommendation systems, powering ... Hybrid work structure Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Exposure to data science workflows, machine learning, or AI deployments is a plus * Strong ...

Showing results 41-60

Remote Machine Learning Ops Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

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

As of Aug 6, 2026, the average yearly pay for remote machine learning ops engineer in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.
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Senior Software Engineer-Engineering Enablement

HEB

Austin, TX • On-site, Remote

$121K - $160K/yr

Full-time

Posted 19 days ago


Job description

Responsibilities

Since H-E-B Digital Technology's inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, make food decisions, and ultimately get food into their homes. This is an exciting time to join H-E-B Digital-we're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience.

At HEB, we’re a technologypowered company on a mission to make the lives of Texans better. Our Data Solutions organization enables innovation through scalable software systems, AI platforms, and cloud data infrastructure. With Tech Hubs in San Antonio, Austin, and Dallas, we are shaping the future of omnichannel retail through engineering excellence, ownership, and quality.

Our Data Solutions teams specialize in:

  • Data Modeling & Governance
  • Data Pipelines, Engineering, and Transformation
  • Data Movement & Streaming
  • 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 setting direction, designing platforms at scale, and influencing architecture across teams. You will help shape enterprise data and AI platforms that power analytics, machine learning, and realtime decisionmaking across HEB.

This role expects deep technical expertise, strategic thinking, and strong crossteam collaboration, with impact beyond a single product or squad.

Do you have a:
HEART FOR PEOPLE... you're willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others?
HEAD FOR BUSINESS... you consistently demonstrate and uphold the standards of coding, infrastructure, and process?
PASSION FOR RESULTS... you're capable of high-velocity contributions in multiple technical domains?


We are looking for:
- 8+ years of experience related to software engineering

What You’ll Do
  • Lead the design and evolution of largescale, cloudnative data and AI platforms
  • Apply an MLOps and platform engineering mindset, enabling the full ML lifecycle (data ingestion, training, deployment, monitoring, iteration)
  • Define and drive architecture standards, patterns, and best practices for AIenabled systems
  • Build, review, and support productioncritical services, APIs, and microservices
  • Partner closely with Data Science, Product, Application, and Analytics leaders to translate business needs into scalable technical solutions
  • Own systems endtoend, including reliability, observability, performance, cost efficiency, and security
  • Act as a mentor and technical multiplier—review designs and code, coach senior engineers, and raise the engineering bar
  • Influence technical direction across teams and contribute to longterm platform strategy
Technical Skills
  • Advanced proficiency in Python and SQL
  • Strong understanding of data structures, algorithms, and distributed system design
  • Deep experience designing cloudnative solutions in GCP, including Vertex AI or comparable ML platforms
  • Handson experience with microservices architecture, REST APIs, Kubernetes, and Kafka or similar streaming platforms
  • Strong experience with CI/CD pipelines, infrastructure as code (Terraform), and automated testing
  • Comfortable working with developer tooling such as Git, Jira, and Confluence


What is your background?
• A related degree or work experience, preferably a Bachelors degree in related work stream
•5+ years of experience related to software engineering
• Experience in Lean Startup or Agile development methodologies
• Experience working in large scale cloud infrastructure, large data sets, and mission critical SLAs
• Experience in Advanced SQL / Python.
• Have a data engineering certification from any of the cloud technologies

What Makes You a Great Fit

  • 8+ years of progressive software engineering experience
  • Proven experience leading data platforms, AI systems, or MLenabled services at scale
  • Ability to operate in ambiguous problem spaces and drive clarity through technical leadership
  • Strong communication skills, with the ability to influence across teams and disciplines
  • A growth mindset and passion for cloud, AI, and emerging technologies
  • Commitment to engineering excellence, operational rigor, and customer impact
  • Desire to be part of a Partnerowned company where leadership and ownership are core values

Can you...
• Function in a fast-paced environment with the ability to work from home and / or office
• Work extended hours; sit for extended periods

The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME