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AI Engineer, Multimodal Models Job Opening In San Diego – Now Hiring CliniComp


Job description

We are looking for a passionate and autonomous Multimodal AI Engineer to contribute to our innovative projects in the field of the multimodal foundation models for LLM, image, and clinical data analysis.

The Multimodal AI Engineer will work with a dynamic team who is pushing the boundaries of AI machine learning in the healthcare domain and building real-world products for electronic health record (EHR) system.  You will research best practices for data curation, preparation and training of our state-of-the-art foundation models and address some of the hardest problems in computer science.

Requirements

Location: This position is based in the San Diego metropolitan area; candidates must reside locally or be willing to relocate.

  • Master's degree in Computer Science with a focus on LLM and image multimodal foundation models.
  • Excellent programming skills in Python and C/C++.
  • Proficiency in PyTorch framework and the common NLP libraries (NLTK, spaCy, scikit-learn, etc.)
  • Experience with state-of-the-art deep learning architectures (ViT/SWIN transformer, GPT, CLIP, etc.).
  • Experience with model compression and large-scale distributed model training (data-parallel and model-parallel) techniques.
  • An outstanding track record of publications (NeurIPS, CVPR, ICML, AAAI, etc.) and contributions to the machine learning communities (kaggle, Hugging Face, etc.).
  • Hands-on experience with parameter-efficient tuning (QLoRA) techniques and the LangChain framework is a plus.
  • Experience with prompt engineering and fine-tuning Llama 2 or PaLM 2 with domain specific data is a plus.
  • Experience with CUDA programming is a plus.
  • Experience with imaging processing (opencv2, VTK, ITK, DCMTK, Albumentations) is a plus.
  • Experience with vector databases (Chroma, Pinecone, Milvus, redis, etc.) is a plus.
  • Experience with human-in-the-loop, Reinforcement Learning from Human Feedback (RLHF), and continuous online training is a plus.
  • Knowledge for Stable Diffusion, OpenJourney, or DeepFloyd IF is a plus.

Benefits

The annual salary range for this position in the San Diego market is $185,000 to $215,000.

CliniComp's salary ranges are benchmarked and determined by role and level.

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

  • 100% covered Medical and Dental coverage option for you and your family.
  • Generous 401(k) plan and contribution.
  • Events and biweekly lunches.
  • Engaging wellness activities including an onsite nutritionist and personal trainer-led group fitness.
  • ...and more!

CCI complies with the Americans with Disabilities Act and considers reasonable accommodation measures that may be necessary for eligible applicants/employees to perform primary responsibilities.

EEO/AA/M/F/Veteran/Disabled.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Engineer Potential: Insight & Career Growth Guide


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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 CliniComp 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

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The average salary range for a varies, but the pay scale is rated "Standard" in San Diego. 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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Interview Tips for AI Engineer, Multimodal Models Job Success

CliniComp interview tips for AI Engineer, Multimodal Models

Here are some tips to help you prepare for and ace your AI Engineer, Multimodal Models job interview:

Before the Interview:

Research: Learn about the CliniComp'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.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI Engineer, Multimodal Models interview at CliniComp, 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 CliniComp'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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