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

TriOptus LLC

CyberArk Guru

Murphy, TX · On-site

$101K - $138K/yr

Pure ops, startup-only backgrounds, GRC/AppSec profiles. Deal Breakers: Must have real PAM ... CyberArk, security certs, AI, and Machine Learning.

TriOptus LLC

CyberArk Guru

Plano, TX · On-site

$101K - $138K/yr

Pure ops, startup-only backgrounds, GRC/AppSec profiles. Deal Breakers: Must have real PAM ... CyberArk, security certs, AI, and Machine Learning.

TriOptus LLC

CyberArk Guru

Plano, TX · On-site

$102K - $138K/yr

Pure ops, startup-only backgrounds, GRC/AppSec profiles. Deal breakers: Must have real PAM ... CyberArk, security certs, AI, and Machine Learning.

Oxefit Inc

Be Seen First

QA Tester

Plano, TX · On-site

Experience testing AI-powered applications, machine learning features, or conversational AI ... Experience working in fast-paced startup or SaaS environments. * Knowledge of performance, security ...

Oxefit Inc

Be Seen First

QA Tester

Plano, TX · On-site

Experience testing AI-powered applications, machine learning features, or conversational AI ... Experience working in fast-paced startup or SaaS environments. * Knowledge of performance, security ...

Huntington

Principal Innovation Engineer

Dallas, TX

$102K - $208K/yr

This role requires strong hands-on full-stack engineering skills, the mindset of a startup ... Machine Learning, or a related technical field * 10+ years of experience in software engineering ...

Zimperium

Sr. Cloud Security Engineer - FedRamp

Dallas, TX · On-site +1

$113K - $155K/yr

Our MTD and award-winning machine learning-based engine protects against device, network, phishing ... and a fast-paced startup/tech company (for agility and innovation). - Relevant industry ...

Trace3

Solution Architect | GRC (Remote)

Dallas, TX · On-site +1

$62.25 - $82/hr

Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business ... machine learning, generative AI, and agentic AI. * Monitor and inform the practice and its clients ...

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Showing results 21-40

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 Aug 9, 2026, the average yearly pay for machine learning startup in Dallas, TX is $42,125.00, 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 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 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 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 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 August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.

Sr. Solutions Architect AI

MegazoneCloud US

Frisco, TX • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Megazone Cloud is seeking a Director of AI & Databricks Solutions to lead their AI practice and act as a technical authority for clients. The role focuses on architecting and overseeing the implementation of AI/ML platforms, guiding teams, and driving strategic relationships within the Databricks ecosystem.
Responsibilities:
• Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.
• Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.
• Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.
• Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.
• Set the Standard: Define best practices for responsible AI, data quality, and security, serving as the final point of escalation for complex technical challenges.
• Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force multiplier" through technical guidance and design reviews.
• Market Leadership: Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.
Qualifications:
Required:
• 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
• Deep, hands-on expertise with the Databricks stack and a proven track record of integrating Databricks into complex client environments.
• 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.
• Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.
• Exceptional skills in presenting to executive audiences and translating business needs into technical designs.
• Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s or PhD preferred).
• A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge.
Preferred:
• Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).
• Experience in a Professional Services or consulting environment.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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