Enable job alerts via email!

Machine Learning Engineer

Webai

Austin (TX)

On-site

USD 100,000 - 140,000

Full time

2 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

A dynamic software company in Austin seeks a Machine Learning Engineer with expertise in Natural Language Processing and Large Language Models. This role involves developing cutting-edge NLP models, collaborating with teams to advance AI capabilities, and engaging in a culture that encourages innovation. Ideal candidates will possess a strong background in machine learning with a solid understanding of the latest technologies and a passion for continuous learning.

Benefits

Competitive salary and performance-based incentives
Comprehensive health, dental, and vision benefits
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
Free parking for in-office employees
Unlimited PTO
Supplemental Life Insurance

Qualifications

  • 2+ years professional experience in machine learning, focused on NLP.
  • Strong understanding of transformer-based models.
  • Excellent communication and problem-solving skills.

Responsibilities

  • Develop and optimize LLM-based models for NLP tasks.
  • Collaborate on datasets preprocessing and feature extraction.
  • Stay updated with the latest NLP/LLM research.

Skills

Natural Language Processing
Large Language Models
Model Optimization
Text Analytics
Python

Education

Bachelor’s degree in Computer Science
Master’s degree (preferred)

Tools

Hugging Face Transformers
TensorFlow
PyTorch

Job description

webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.

What’s the Job?

We are looking for a Machine Learning Engineer with hands-on experience in Natural Language Processing (NLP) and Large Language Models (LLMs). This role is ideal for someone who enjoys working on cutting-edge transformer architectures, text analytics, and model optimization. You'll support the development of webAI’s core platform by building and deploying NLP models that can scale efficiently and deliver real-world impact.

You’ll collaborate with senior engineers and researchers to bring the latest advancements in LLMs to life, contributing to the development of scalable AI systems that operate effectively on limited datasets.

Key Responsibilities:

  • Develop and optimize LLM-based models for tasks such as text classification, summarization, and language generation
  • Contribute to preprocessing and preparation of datasets, including tokenization and feature extraction
  • Experiment with transformer architectures (e.g., BERT, GPT) to improve model performance
  • Work with Python and key NLP libraries (e.g., Hugging Face Transformers, TensorFlow, PyTorch)
  • Participate in code reviews, design discussions, and collaborative development with cross-functional teams
  • Stay current with research in NLP/LLMs and bring relevant innovations into our production workflows

Required Skills & Experience:

  • 2+ years of professional experience in machine learning, with a focus on NLP and LLMs
  • Bachelor’s degree in Computer Science, Machine Learning, or related field (Master’s preferred)
  • Strong understanding of transformer-based models and NLP workflows
  • Proficiency in Python and libraries such as Hugging Face, TensorFlow, and/or PyTorch
  • Excellent communication skills and a passion for continuous learning and problem-solving

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision benefits package.
  • $200/mos Health and Wellness Stipend
  • $400/year Continuing Education Credit
  • Free parking, for in-office employees
  • Unlimited PTO
  • Supplemental Life Insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Create a Job Alert

Interested in building your career at webAI? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School * Select...

Degree * Select...

Select...

Start date year

End date month Select...

End date year

Are you legally authorized to work in the United States?Note: If hired, a Form I-9, Employment Eligibility Verification, must be completed at the start of employment. * Select...

Do you now, or will you in the future require sponsorship for employment (e.g;- H-1 B visa, Work Permit, etc) in the United States? * Select...

This role requires someone on-site at our Austin, Texas Corporate office. Are you within commutable distance to Austin, Texas? If not within commutable distance, Are you open to relocation to the Austin, Texas area? *

If you had to pick one project to highlight your recent experience, what would it be? (please provide a 2-4 sentence description) *

LinkedIn Profile *

Do you have 2+ years of experience in Machine Learning with a focus on NLP and LLM's? *

Are you proficient in Python and NLP Libraries? *

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Machine Learning Engineer (m/f/d)

ResearchGate GmbH

Mission

Remote

USD 90,000 - 130,000

12 days ago

Sr Machine Learning Engineer (Remote / Virtual)

US Foods

Illinois

Remote

USD 96,000 - 129,000

Yesterday
Be an early applicant

Senior Machine Learning Engineer | MLOps & Scalable Systems

Davita Inc.

Phoenix

Remote

USD 120,000 - 160,000

Today
Be an early applicant

Machine Learning Engineer with Generative AI

PETADATA

Las Vegas

Remote

USD 130,000 - 180,000

Today
Be an early applicant

Sr. Machine Learning Engineer II (Remote)

Prattwhitney

Town of Texas

Remote

USD 124,000 - 250,000

Yesterday
Be an early applicant

Machine Learning Engineer, Credit Risk

Stripe

Remote

USD 130,000 - 180,000

Today
Be an early applicant

Engineer, Machine Learning

Intel Corporation

Remote

USD 100,000 - 500,000

Today
Be an early applicant

Principal Agentic AI Machine Learning Engineer

ScienceLogic

Remote

USD 130,000 - 180,000

Today
Be an early applicant

[Hiring] Sr Machine Learning Engineer - Fintech Foundation @Hopper

Hopper

Remote

USD 120,000 - 180,000

Yesterday
Be an early applicant