Urgent! Machine Learning Research Engineer Job Opening In – Now Hiring Texas Instruments
**Change the world.
Love your job.**
We are seeking a highly motivated **Machine Learning Research Engineer** to join our Embedded AI team to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications.
As a key member of our team, you will lead the efforts on advancing the state-of-the-art in LLM architectures, Agentic LLM, and Reasoning LLM.
Your work will involve exploring innovative approaches to integrate LLMs with domain knowledge, related tools, and other AI techniques to achieve human-like decision-making capabilities for business impact.
In this machine learning research engineer role, you’ll have the chance to work on the following topics:
+ Explore the application of LLMs in code generation, evaluation, and optimization
+ Conduct research and development on novel and efficient LLM architectures, training algorithms, and post-training algorithms
+ Design and develop new reasoning models with domain-specific knowledge
+ Design and implement advanced Agentic LLM system for complex task automations
+ Collaborate with system teams and internal business teams to define and implement AI/ML solutions for core business
**Why TI?**
+ Engineer your future.
We empower our employees to truly own their career and development.
Come collaborate with some of the smartest people in the world to shape the future of electronics.
+ We're different by design.
Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger.
We value each and every voice, and look forward to hearing yours.
Meet the people of TI (https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012)
+ Benefits that benefit you.
We offer competitive pay and benefits designed to help you and your family live your best life.
Your well-being is important to us.
**About Texas Instruments**
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems.
At our core, we have a passion to create a better world by making electronics more affordable through semiconductors.
This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere.
Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
**Minimum requirements:**
+ Doctoral degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, or related field
+ 3 years of related experience
**Preferred qualifications:**
+ Strong background in Natural Language Processing, Large Language Models, and Deep Learning frameworks
+ Proven track record of designing, developing, and deploying machine learning models/LLMs that drive business value
+ Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization
+ Excellent understanding of LLM architectures and transformer-based models
+ Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm)
+ Strong foundation in text processing, tokenization, and embedding techniques
+ Knowledge of few-shot learning, transfer learning, and fine-tuning
+ Knowledge of LLM performance evaluation
+ Knowledge of reinforcement learning for LLM; Experience with LLM post-training implementation, including PPO, DPO, and GRPO
+ Experience with LLM agent implementation with tool calling
+ Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team
**ECL/GTC Required:** Yes
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in , United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in , United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11027 jobs in United States and 0 jobs in . This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Texas Instruments is currently hiring and seeking a Machine Learning Research Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Research Engineer Jobs .
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Texas Instruments adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Research Engineer Jobs United States varies, but the pay scale is rated "Standard" in . Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Research Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Research Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Research Engineer interview at Texas Instruments, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Texas Instruments's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Machine Learning Research Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!