Machine Learning Engineer - AI Research
Are you passionate about AI and eager to push the boundaries of machine learning? Do you have a strong background in data science and a knack for developing innovative solutions? If so, we have an exciting opportunity for you at Salesforce as a Machine Learning Engineer - AI Research. As part of our dynamic team, you will have the chance to work on cutting-edge projects and contribute to the advancement of AI technology. We are seeking highly skilled individuals who are driven, curious, and have a deep understanding of machine learning algorithms. If this sounds like you, read on to learn more about this role and how you can join our mission to revolutionize the world of AI.
- Conduct research and develop innovative solutions for machine learning projects at Salesforce.
- Collaborate with cross-functional teams to identify business problems and design AI solutions.
- Develop, implement, and optimize machine learning algorithms and models.
- Analyze and interpret complex data sets to identify trends and patterns.
- Stay up-to-date with the latest advancements in machine learning and AI technology.
- Troubleshoot and debug issues with machine learning models and algorithms.
- Communicate findings and results to both technical and non-technical stakeholders.
- Actively contribute to the development and improvement of machine learning processes and methodologies.
- Work with large datasets and utilize data preprocessing techniques to ensure data quality.
- Maintain and update existing machine learning models and algorithms.
- Participate in code reviews and provide constructive feedback to improve overall code quality.
- Collaborate with other Machine Learning Engineers and Data Scientists to share knowledge and best practices.
- Document all research, findings, and processes accurately and thoroughly.
- Keep track of project timelines and deliverables, ensuring timely completion of tasks.
- Continuously evaluate and improve machine learning models and algorithms based on performance metrics.
Strong Background In Computer Science And Mathematics: A Machine Learning Engineer At Salesforce Should Possess A Solid Foundation In Computer Science And Mathematics, Including Knowledge Of Algorithms, Data Structures, Statistics, And Linear Algebra. This Knowledge Is Essential For Building And Optimizing Complex Ai Systems.
Proficiency In Programming Languages: A Candidate For This Role Should Have Advanced Programming Skills In Languages Such As Python, Java, And C++, As Well As Experience With Machine Learning Libraries And Frameworks Such As Tensorflow, Pytorch, And Scikit-Learn.
Experience In Ai Research And Development: The Ideal Candidate Should Have Hands-On Experience In Developing Ai Models And Algorithms, As Well As Implementing Them In Real-World Applications. This Includes A Deep Understanding Of Various Machine Learning Techniques Such As Supervised And Unsupervised Learning, Reinforcement Learning, And Deep Learning.
Strong Analytical And Problem-Solving Skills: A Machine Learning Engineer At Salesforce Should Be Able To Think Critically And Creatively To Solve Complex Problems. They Should Have A Knack For Identifying Patterns And Trends In Data And Possess The Ability To Design And Implement Effective Solutions To Business Challenges.
Excellent Communication And Teamwork Abilities: As Part Of A Larger Ai Research Team, A Machine Learning Engineer Must Be Able To Collaborate Effectively With Other Researchers, Engineers, And Stakeholders. Strong Communication Skills Are Needed To Present Findings And Recommendations To Non-Technical Team Members And To Work Together To Deliver Successful Ai Solutions.
Data Analysis
Deep Learning
Computer Vision
Data Visualization
Cloud Computing
Natural language processing
Statistical modeling
Machine learning algorithms
Predictive modeling
reinforcement learning
Neural Networks
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Organizational skills
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning Engineer - AI Research in San Francisco, CA, USA is $130,000 - $170,000 per year. However, salaries can vary depending on factors such as experience, skills, and company size. Some top companies in San Francisco that offer high salaries for Machine Learning Engineers - AI Research include Google, Facebook, and Apple. It is also important to note that the demand for Machine Learning Engineers in San Francisco is high, which can drive up salaries in the area.
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Salesforce.com, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer-relationship management service and also sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.
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