AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Other Jobs To Apply

No other job posts for this day.

<p><strong>AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA</strong></p><p><br></p><p><strong>Title: AI Research Scientist</strong></p><p><strong>Location: San Jose, CA</strong></p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.</li><li>Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.</li><li>Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.</li><li>Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.</li><li>Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.</li><li>Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.</li><li>Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.</li><li>Contribute to academic publications and represent the company in research communities, as needed.</li></ul><p><br></p><p><strong>Educational Qualifications:</strong></p><ul><li>Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.</li><li>Candidates with a master’s degree and exceptional research or industry experience will also be considered.</li></ul><p><br></p><p><strong>Industry Experience: </strong></p><ul><li>3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.</li><li>Demonstrated success in delivering research-driven solutions that have been deployed in production.</li><li>Experience collaborating in cross-functional teams across research, engineering, and product.</li><li>Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.</li></ul><p><br></p><p>Technical Skills:</p><ul><li>Strong foundational knowledge in machine learning and deep learning algorithms.</li><li>Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).</li><li>Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.</li><li>Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.</li><li>Advanced programming skills in Python (preferred), C++, or Java.</li><li>Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.</li><li>Strong mathematical foundations in probability, linear algebra, and calculus.</li><li>Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.</li><li>Ability to translate research insights into roadmaps, technical specifications, and product improvements.</li></ul><p><br></p><p><strong>AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA</strong></p>

Back to blog

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...