Researcher AI & Machine Learning

Role - Researcher AI & Machine Learning - AI & Data Consultant
Job Location - San Francisco, CA
Job Type - Full time

Job Description

Responsibilities:
Research and Development:

• Conduct cutting-edge research in AI and ML

• Explore and experiment with new machine learning techniques

• Develop Client AI solutions for complex problems across various industries
Algorithm Design:

• Design and implement Client algorithms for data analysis

• Improve the efficiency and scalability of existing models
Data Analysis:

• Collect, clean, and analyze large datasets to extract meaningful insights

• Perform exploratory data analysis to identify trends, anomalies and key features
Model Training & Evaluation:

• Train machine learning models on large datasets and optimize them for accuracy

• Conduct thorough evaluation and testing of models using appropriate metrics
Collaboration:

• Work closely with cross-functional teams, including software engineers

• Collaborate with other researchers and academic institutions
Publications & Presentations:

• Publish research findings in peer-reviewed journals and present at industry conferences

• Communicate complex research results to both technical and non-technical stakeholders

Qualifications:
Educational Qualifications: -
A Ph.D. or master's degree in computer science, Electrical Engineering, Mathematics, or a related field with a strong focus on AI/ML.
Minimum of 10 years of total experience

Technical Skills: -

• Expertise in machine learning libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn)

• Proficiency in programming languages such as Python, C , or Java

• Strong knowledge of mathematical concepts, including linear algebra, probability, statistics, and optimization techniques

• Contributions to AI/ML open-source projects or publications in top-tier journals or conferences

• Experience in cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment

• Familiarity with large-scale distributed systems and data processing frameworks (e.g., Hadoop, Spark)
Experience:

• Strong research background, deep technical expertise in AI and ML

• Experience with deep learning, natural language processing (NLP), computer vision, or reinforcement learning

• Practical experience in designing and deploying ML models at scale
Soft Skills:

• Strong problem-solving skills and a passion for innovation

• Excellent written and verbal communication skills to explain complex concepts clearly

• Ability to work independently and as part of a team

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.