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Machine Learning Nlp Jobs in Texas (NOW HIRING)

Bumble

Lead Machine Learning Engineer

Austin, TX

$255K - $280K/yr

Strong expertise in machine learning, with a track record of delivering end-to-end systems in ... PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking, or NLP

DKMRBH Inc.

NLP Architect

Houston, TX

$61 - $78.25/hr

D. in Artificial Intelligence, Computer Science, Machine Learning, Cybersecurity, or an equivalent technical field. • Highly valued: Verified credentials or specialized project portfolios ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX

$300K - $345K/yr

As part of the Machine Learning team, you'll play a critical role in shaping how AI powers ... PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP * Expertise in ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

$300K - $345K/yr

As part of the Machine Learning team, you'll play a critical role in shaping how AI powers ... PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP * Expertise in ...

United IT

GenAI NLP ML Engineer

Austin, TX

GenAI NLP ML Engineer Location: Austin TX Key Responsibilities: * 10+ yrs experience minimum ... machine learning and generative AI models. * Operationalize complex ML and GenAI models into ...

Optimum

Sr Machine Learning Engineer

Plano, TX · On-site

$97K - $134K/yr

Job Summary Machine Learning Engineers work to deploy end-to-end solutions to business problems ... NLP, experiments, and optimization. * Ability to apply Bayesian inference, frequentist statistics ...

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All JobsMachine Learning Nlp JobsMachine Learning Nlp Jobs in Texas

Machine Learning Nlp information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do machine learning nlp jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning nlp in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a Machine Learning NLP job?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What are the typical daily responsibilities of a Machine Learning NLP specialist?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Nlp position, and why are they important?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

What are popular job titles related to Machine Learning Nlp jobs in Texas? For Machine Learning Nlp jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Nlp jobs in Texas look for? The top searched job categories for Machine Learning Nlp jobs in Texas are:
Machine Learning Nlp jobs near you
Infographic showing various Machine Learning Nlp job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Bumble

Austin, TX

$255K - $280K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

What You'll do
  • Lead the design and delivery of end-to-end ML systems powering recommendations, ranking, and personalization, driving measurable improvements in user outcomes
  • Architect and optimise ML pipelines, integrating data processing, model training, evaluation, and deployment into scalable systems (e.g. Spark, Airflow)
  • Build and deploy advanced models using modern frameworks (e.g. PyTorch), ensuring robustness in high-scale production environments
  • Develop and apply LLM-based capabilities, including prompt design and fine-tuning approaches for production use cases
  • Drive experimentation strategy, including A/B testing and offline evaluation, to continuously improve performance and inform product decisions
  • Partner cross-functionally with Product, Engineering, and Data teams, collaborating with purpose to translate business challenges into ML solutions
  • Mentor and support other engineers, fostering a culture of Curiosity, ownership, and continuous improvement
About You
  • Typically requires 7-10 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
  • Strong expertise in machine learning, with a track record of delivering end-to-end systems in production
  • Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking, or NLP
  • Experience designing and scaling ML pipelines and data systems (e.g. Spark, Airflow, or similar technologies)
  • Hands-on experience with LLMs, including prompting, evaluation, and production integration
  • Demonstrated ability to take ownership of ambiguous problems and deliver impactful outcomes
  • Strong collaboration skills, working cross-functionally and taking ownership of shared goals
  • Solid AI fluency, with the ability to guide best practices in model development and responsible AI usage within a team

$255,000 - $280,000 a year
About Us
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.
AI Fluency
AI is important to us. We're excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.
We encourage you to use AI responsibly as you prepare your application. Please don't use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.
Final Compensation
Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job-related considerations.
Benefits & Perks
Insurance: Medical/dental/vision, 30-day eligibility. Bumble has multiple competitive offerings that will be available to you on the first of the month following date of hire.
Unlimited PTO + 1 company-wide week off + Focus Fridays every week
Fully paid life and long-term disability insurance
401k with 4% company match if you contribute 6%, 90-day eligibility
Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
Maternity and Fertility benefit + 26 week paid parental leave
Premium App Access
Inclusion at Bumble Inc.
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.
In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).
AI in Bumble Inc. Hiring
At Bumble, we may use AI tools to support parts of our recruitment process - such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team's efficiency and improve the candidate experience - not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you'd prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you'd like a transcription or summary deleted, please contact your recruiter directly.
For further information on how we hold and manage your data, please refer to our Privacy Policy.

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