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Founding Machine Learning Engineer Jobs in Austin, TX

Cogent Info

AI/ Machine Learning Engineer

Austin, TX · On-site

$96K - $132K/yr

Mid-Level AI/Machine Learning Engineer Join one of the top 10 global powerhouses transforming the future of Market. As an AI / Machine Learning Engineer, you'll play a key role in designing ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

PayPal, Inc. seeks Machine Learning Engineer in Austin, TX Job Duties: Gather, analyze and implement high-impact statistical models and AI applications in various business functional areas, focusing ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

SynergisticIT

Machine learning engineer

Austin, TX · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... NLP, Deep Learning, Data visualization, Scala, Django Our candidates always get projects with well ...

Indeed

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

Bespoke Labs

Machine Learning Engineer

Austin, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

San Marcos, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Iterable

Senior Machine Learning Engineer (Nova)

Austin, TX · On-site

$103K - $142K/yr

Senior Machine Learning Engineer (Nova) Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic ...

Striveworks

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to both the customer-driven projects and the enduring products of ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

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All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in Austin, TX

Founding Machine Learning Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do founding machine learning engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for founding machine learning 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.

What is a Founding Machine Learning Engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What are some unique challenges and expectations for a Founding Machine Learning Engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

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

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Austin, TX? For Founding Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Founding Machine Learning Engineer jobs in Austin, TX look for? The top searched job categories for Founding Machine Learning Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Founding Machine Learning Engineer jobs? Cities near Austin, TX with the most Founding Machine Learning Engineer job openings:
Founding Machine Learning Engineer jobs near you

AI/ Machine Learning Engineer

Cogent Info

Austin, TX • On-site

$96K - $132K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Mid-Level AI/Machine Learning Engineer

Join one of the top 10 global powerhouses transforming the future of Market. As an AI / Machine Learning Engineer, you'll play a key role in designing, developing, and deploying intelligent systems that support millions of users worldwide. From building scalable machine learning models and data pipelines to deploying AI solutions on cloud platforms, this is your opportunity to make a global impact with next-generation, data-driven systems. Whether you're a model builder, problem-solver, or technical leader, this team values engineers who bring innovation, collaboration, and a passion for applying AI at scale.

Location: flexible to relocate nationwide / relocate in particular time zone Full-time on-site required

Build Intelligent Systems That Make an Impact!

We're looking for mid-level AI professionals (3–7 years' experience) who are passionate about building, deploying and scaling AI and Generative AI solutions in production environments.

Open Roles
  • Machine Learning Engineer
  • AI / GenAI Engineer
  • MLOps / AI Platform Engineer
  • AI Application Engineer
What You'll Do

Depending on the role, you will:

  • Design, train and deploy ML and GenAI models for real-world applications
  • Build LLM-based applications, RAG pipelines and AI-powered APIs
  • Develop scalable MLOps pipelines for model training, validation, CI/CD and monitoring
  • Work with cloud platforms (AWS, Azure, GCP) and GPU/accelerated workloads
  • Integrate AI models into web and backend applications
  • Monitor model performance, drift and reliability in production
What We're Looking For (Mid-Level)
  • 3–7 years of experience in ML / AI / MLOps / AI Engineering
  • Strong programming in Python (PyTorch, TensorFlow, scikit-learn)
  • Experience with LLMs, prompt engineering, vector databases and RAG frameworks
  • Knowledge of Docker, Kubernetes, CI/CD and cloud ML services
  • Experience with APIs, microservices and production deployments
Preferred Skills & Certifications
  • Experience with OpenAI, Azure OpenAI, Vertex AI, Bedrock, Hugging Face
  • MLOps tools: MLflow, Kubeflow, Airflow, Weights & Biases
  • Cloud certifications or AI/ML certifications
  • Exposure to data pipelines, streaming and feature stores

Cogent Infotech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels welcome and valued. We encourage applications from individuals of all backgrounds, identities, abilities, and experiences. If you're excited about this role but don't meet every requirement, we still encourage you to apply.

At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future.

Apply