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Research Software Developer AI for Math and Science Job Opening In San Jose – Now Hiring IBM

Research Software Developer AI for Math and Science

    United States Jobs Expertini Expertini › United States › Jobs › San Jose › Other General › Research Software Developer Ai For Math And Science

Job description

**Introduction**
IBM Research takes responsibility for technology and its role in society.
Working in IBM Research means you'll join a team who invent what's next in
computing, always choosing the big, urgent and mind-bending work that
endures and shapes generations.

Our passion for discovery, and excitement
for defining the future of tech, is what builds our strong culture around
solving problems for clients and seeing the real world impact that you can
make.
IBM's product and technology landscape includes Research, Software, and
Infrastructure.

Entering this domain positions you at the heart of IBM,
where growth and innovation thrive
**Your role and responsibilities**
We are seeking a motivated individual to develop/work on cutting-edge algorithms in math and science domains (e.g., physics, biology, or engineering) and translate them into scalable AI/ML models.

The ideal candidate will bridge research and software development, collaborating with cross-functional teams to solve complex problems.

Key Responsibilities

* Design and implement algorithms for scientific or mathematical problems (e.g., optimization, simulation, data analysis).
* Develop and train AI/ML models (e.g., neural networks, NLP, computer vision) using Python and frameworks like PyTorch/TensorFlow.
* Translate research papers or theoretical concepts into production-ready code.
* Collaborate with researchers, data scientists, and engineers to integrate models into software systems.
* Document code, write unit tests, and maintain clean, modular software.
**Required technical and professional expertise**

* Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
* Published research experience (peer-reviewed papers in journals or conferences like NeurIPS, ICML, or domain-specific venues—preferably in PDEs, stochastic processes, or statistical modeling).
* Strong Python skills (e.g., NumPy, Pandas, Scikit-learn, and libraries for PDE solvers [e.g., FEniCS], stochastic simulations [e.g., PyMC3], or regression analysis [e.g., Statsmodels]).
* Proficiency in AI/ML model development (e.g., model training, evaluation, deployment).
* Basic software development skills: version control (Git), API design, cloud platforms (AWS/Azure/GCP), and software lifecycle principles.
* Strong foundation in mathematical modeling, including PDEs, stochastic processes, and linear regression.


Preferred:

* Experience with scientific computing libraries (e.g., SciPy, JAX, TensorFlow Probability).
* Familiarity with domain-specific tools (e.g., computational biology, quantum computing, or physics simulation).
* Open-source contributions or a GitHub portfolio demonstrating technical capabilities (e.g., PDE solvers, stochastic optimization, or regression-based AI models).
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


Required Skill Profession

Other General


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Unlock Your Research Software Potential: Insight & Career Growth Guide


Real-time Research Software Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Research Software in San Jose, United States, highlighting market share and opportunities for professionals in Research Software roles.

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The Work Culture

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 IBM adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Research Software Developer AI for Math and Science Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in San Jose. 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.

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Key qualifications for Research Software Developer AI for Math and Science typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Research Software Developer AI for Math and Science Job Success

IBM interview tips for Research Software Developer AI for Math and Science

Here are some tips to help you prepare for and ace your Research Software Developer AI for Math and Science job interview:

Before the Interview:

Research: Learn about the IBM's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Research Software Developer AI for Math and Science interview at IBM, 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 IBM'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!

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