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Machine Learning Startup Jobs in Dallas, TX (NOW HIRING)

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Tixy Services LLC

Project Manager

Dallas, TX · On-site

Experience working within an AI, Machine Learning, Generative AI, SaaS, or technology startup . * Familiarity with AI/ML concepts, LLMs, or GenAI solutions. * Experience managing enterprise or ...

Vizient, Inc.

Sr AI/ML Engineer

Irving, TX · On-site

$102K - $179K/yr

Summary: In this role, you will design, build, and deploy scalable AI and machine learning ... Experience building AI/ML systems in startup, high-growth, or large-scale enterprise environments ...

USM

JB061761 - MLOps Engineer

Grapevine, TX · On-site

$80/hr

... machine learning systems that power computer vision, RFID integration, and real-time item ... Work Environment Fast paced, POC so like a startup, must be a self starter Additional Skills ...

Vizient

Sr AI/ML Engineer

Irving, TX · On-site

$102K - $179K/yr

Summary: In this role, you will design, build, and deploy scalable AI and machine learning ... Experience building AI/ML systems in startup, high-growth, or large-scale enterprise environments ...

Integra

Director Electrical Engineering

Dallas, TX · On-site +1

Lead engineering efforts supporting NVIDIA GPU clusters, AI training environments, machine learning ... Manage engineering support during commissioning and startup activities. * Ensure compliance with ...

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All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Dallas, TX

Machine Learning Startup information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do machine learning startup jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning startup in Dallas, TX is $42,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is a machine learning startup?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the typical responsibilities and daily challenges when working at a machine learning startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What are the key skills and qualifications needed to thrive in a machine learning startup, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the most commonly searched types of Machine Learning Startup jobs in Dallas, TX?

The most popular types of Machine Learning Startup jobs in Dallas, TX are:

What are popular job titles related to Machine Learning Startup jobs in Dallas, TX?

For Machine Learning Startup jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Startup jobs in Dallas, TX look for?

The top searched job categories for Machine Learning Startup jobs in Dallas, TX are:

Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in Dallas, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $42,143 per year, or $20.3 per hour.

Forward Deployed AI Engineer (Palantir)

Dallas, TX • On-site

HRB
See more jobs at HRBexternal

Other

Posted 23 days ago

Job description

As a Forward Deployed AI Engineer, you will sit at the intersection of AI engineering, product strategy, and client delivery. Working closely with enterprise partners and clients, you will own the end-to-end strategy, architecture, and deployment of production-grade Generative AI workflows to address high-stakes real-world challenges.

This role operates much like a hands-on AI startup technical leader—taking concepts from problem decomposition and prototyping all the way to robust, scalable field deployment.

Core Responsibilities

Solution Architecture & Delivery:Build, optimize, and deploy end-to-end LLM workflows, data processing pipelines, and advanced analytics tools into production.

Client & Business Strategy:Partner directly with technical and non-technical stakeholders to translate complex operational challenges into actionable AI implementations.

Product Feedback Loop:Capture field insights and user feedback to inform and refine internal core AI product platforms and tooling.

Iterative Problem Solving:Work in agile, cross-functional teams to rapidly prototype, validate, and scale AI solutions in dynamic client environments.

Key Qualifications

Gen AI & LLM Experience:Proven track record of building and deploying solutions utilizing Large Language Models (LLMs) and modern Generative AI frameworks.

Machine Learning Fundamentals:Solid grounding in ML core concepts, including evaluation methodologies, model training/fine-tuning, and problem decomposition.

Engineering Background:Bachelor’s or Master’s degree (or equivalent practical experience) in Computer Science, Software Engineering, Mathematics, Physics, Machine Learning, or a related technical field.

Business & Communication Skills:Ability to solve business-oriented problems rather than academic benchmarks, with strong communication skills for client-facing collaboration.

Willingness to Travel:Ability and willingness to travel to client sites as needed (up to 25%).

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