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Staff Software Engineer Machine Learning Jobs in Houston, TX

Staff Software Engineer We are actively recruiting for a Staff Software Engineer. As a Staff Software Engineer at FuzeRx, you are a principal technical leader within our technology organization ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the ...

Collaborate with software engineers, architects, and platform teams to accelerate standardization ... Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing ...

Overview This Staff Engineer position is responsible for full stack software development on HungerRush 360, our flagship cloud POS system that makes it easier to delight guests, drive loyalty, and ...

Overview This Staff Engineer position is responsible for full stack software development on HungerRush 360, our flagship cloud POS system that makes it easier to delight guests, drive loyalty, and ...

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Collaborate with cross-functional teams, including data scientists, product managers, and software ...

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... software engineers to ensure reliable, scalable adoption across the business • Communicate ... machine learning or statistical models, with a proven track record of delivering end-to-end ...

Staff Software Engineer

Houston, TX · On-site +1

$150K - $185K/yr

Experience in design and implementation of transaction-oriented software in a Linux/C environment a plus * Must be an expert in the C# programming language * Expert level capabilities in Php a plus

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Vitol is the world's largest independent energy and commodities trading company, and they are seeking an experienced Software Engineer to join their global data science and machine learning team. The ...

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Staff Software Engineer Machine Learning information

See Houston, TX salary details

$57.8K

$153.9K

$210.1K

How much do staff software engineer machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for staff software engineer machine learning in Houston, TX is $153,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $181,900.00 per year, depending on experience, location, and employer.
What job categories do people searching Staff Software Engineer Machine Learning jobs in Houston, TX look for? The top searched job categories for Staff Software Engineer Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Staff Software Engineer Machine Learning jobs? Cities near Houston, TX with the most Staff Software Engineer Machine Learning job openings:

Software Engineer, Machine Learning Infrastructure

Bot Auto

Houston, TX • On-site

$165K - $195K/yr

Full-time

Posted 6 days ago


Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
We are seeking a highly skilled and motivated Software Engineer to design, develop, and scale our machine learning annotation, evaluation, and training infrastructure. This role is central to the quality and velocity of our perception and ML models - from curating and managing high-quality annotated datasets, to building robust evaluation pipelines that drive continuous model improvement. The ideal candidate combines strong systems engineering skills with a deep understanding of ML Workflows/Ops and large-scale data infrastructure.
Key Responsibilities
Machine Learning & Deep Learning Infrastructure
  • Evaluation Platform - Architect and own a scalable, end-to-end model evaluation platform for perception and prediction models central to autonomous driving. Define metrics, design for scale, and make results actionable for researchers.
  • Training Infrastructure - Partner with research scientists to optimize and scale distributed training workflows. Integrate experiment tracking and reproducibility into the model lifecycle from day one.
  • Dataset & Feature Store - Design and maintain a versioned, high-quality training data store that accelerates model development and supports rapid iteration.
  • ML Pipelines - Build automated pipelines spanning data preparation, model training, validation, and deployment - enabling fast experimentation and reproducible outcomes.
  • Annotation Platform - Contribute to tooling and infrastructure that powers high-throughput, high-accuracy data annotation at scale.
  • MLOps - Develop production ML services that treat models as products - with reliability, observability, and continuous improvement built in.

Data Infrastructure
  • Maintain and evolve a robust data storage and access layer (S3 data lake, Delta Lake) underpinning annotation, evaluation, and training workflows.
  • Build scalable, reliable data collection pipelines supporting diverse vehicle dispatch missions.
  • Develop foundational services and packages that provide clean, performant access to autonomous driving data across the stack.
Qualifications
Required:
  • Educational Background: Bachelor's or Master's in Computer Science, or equivalent practical experience.
  • Strong Programming Skills: Strong proficiency in Python; working knowledge of C++
  • ML/DL Infrastructure Experience - Demonstrated hands-on experience building or scaling at least one of the following in a production environment:
    • Evaluation platforms - automated model benchmarking, metric computation, and regression tracking across model versions.
    • Training infrastructure - distributed training pipelines, experiment tracking, and model lifecycle management (e.g. W&B, MLflow, ClearML).
    • Dataset curation & feature stores - versioned dataset management, data lineage, and tooling for high-quality training data at scale.
    • Annotation platforms - tooling or pipelines that support high-throughput, high-accuracy labeling workflows.
  • Distributed Systems - Strong experience with distributed computing and container orchestration - Kubernetes, Spark, or comparable frameworks.
  • Ability to operate independently: scope ambiguous problems, make sound architecture decisions, and drive them to completion.

Preferred:
  • C++ experience in performance-sensitive or safety-critical applications
  • Full-stack service development experience.
  • Prior work in autonomous driving or robotics.