1

Machine Learning Manager Jobs in Texas (NOW HIRING)

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for ...

Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES Design and implement machine learning algorithms and models for various ...

... and product managers, to help develop and implement machine learning algorithms and testing ... workflows. 4+ years of related experience building high throughput scalable applications or ...

Our solution combines everything shippers need, from transportation management and visibility to ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ...

... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...

... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...

... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...

We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess strong machine ...

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess strong machine ...

We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess strong machine ...

The company leverages its global leadership in carbon management to advance lower-carbon ... Work with Subject Matter Experts to design appropriate machine learning model types and ...

Knowledge of Terraform and Ansible for automating infrastructure management * Knowledge of YAML for ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

next page

Showing results 1-20

Machine Learning Manager information

See Texas salary details

$47.5K

$76.1K

$109.9K

How much do machine learning manager jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning manager in Texas is $76,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $86,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What cities in Texas are hiring for Machine Learning Manager jobs? Cities in Texas with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Texas as of May 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 51% Physical, 5% Hybrid, and 44% Remote job distribution, with an average salary of $76,124 per year, or $36.6 per hour.

Machine Learning Engineer

Avride

Austin, TX • On-site

Full-time

Posted 5 days ago


Job description

About the Team
Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility.
Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.
About the Role
We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems.
You will utilize cloud platforms, orchestration tools, and machine learning frameworks to develop scalable and efficient solutions. Additionally, you will analyze the latest research, assess the applicability of emerging deep learning techniques, and drive innovation in autonomous vehicle technology.
What You'll Do
  • Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle's surroundings or predicting the intentions of other road users.
  • Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
  • Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
  • Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
  • Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
  • Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
What You'll Need
  • Strong understanding of fundamental machine learning algorithms and neural network techniques.
  • Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
  • At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
  • Working knowledge of C++ and SQL.
  • Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
  • Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Nice to Have
  • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
  • Experience developing ML algorithms for autonomous vehicles or robotics applications.
  • Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
  • Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
  • Experience working in cross-functional teams within a multidisciplinary environment.
  • Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.