Machine Learning Researcher

Role: AI & Machine Learning Researcher

Role Type: Full-Time (No 3rd Party or Contractors)

Compensation: Up to $245K DOE Bonus

Location: San Francisco, CA

Years of experience: 10

Key Competencies: ML Libraries, Programming languages, Math, AI, Clouds, Data frameworks, R&D, NLP,

Overview:

Responsibilities:

Research and Development:

• Conduct cutting-edge research in AI and ML
• Explore and experiment with new machine learning techniques
• Develop novel AI solutions for complex problems across various industries

Algorithm Design:

• Design and implement novel 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:

• 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

350778

Job Type: Full-time

Pay: $181,220.00 - $245,180.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Compensation Package:

• Yearly bonus

Schedule:

• Monday to Friday

Education:

• Master's (Required)

Experience:

• Natural language processing: 2 years (Required)
• Machine Learning Researcher: 5 years (Required)
• Machine learning libraries: 3 years (Required)

Ability to Commute:

• San Francisco, CA 94160 (Required)

Work Location: In person

Salary : $181,220 - $245,180