Researcher AI & Machine Learning - AI & Data
Apply NowCompany: Diverse Lynx LLC
Location: San Francisco, CA 94112
Description:
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.
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.