- The ideal candidate will be deeply involved in the translation of cutting-edge DP research into practical, scalable solutions, ensuring our products maintain the highest standards of privacy and data security
- Master's or Ph.D. in Computer Science, Mathematics, Engineering, or a related field, with a focus on Differential Privacy, Machine Learning, or a related area
- Proven industry experience in implementing differentially private machine learning algorithms
- Proficient in programming languages such as Python, R, or Java, and familiar with ML frameworks like PyTorch or Tensorflow
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
- Strong communication skills, with the ability to translate complex technical concepts into easy to understand language
- As a Machine Learning Engineer focused on Differential Privacy (DP), you will play a pivotal role in shaping the future of data privacy
- Collaborate closely with Applied Scientists to understand the nuances of DP and its applications to generative models
- Design, develop, and implement DP algorithms into our existing and future products
- Optimize the performance of DP techniques in a production environment, balancing privacy guarantees with practical utility and efficiency
- Develop adversarial attacks and privacy auditing mechanisms Conduct rigorous testing and validation of DP models to ensure robustness and reliability
- Stay up to date on the latest developments in DP, machine learning, and data privacy regulations to ensure our products are compliant and industry-leading
- Document and communicate technical findings and recommendations to both technical and non-technical stakeholders
- The ideal candidate will be deeply involved in the translation of cutting-edge DP research into practical, scalable solutions, ensuring our products maintain the highest standards of privacy and data security
- Master's or Ph.D. in Computer Science, Mathematics, Engineering, or a related field, with a focus on Differential Privacy, Machine Learning, or a related area
- Proven industry experience in implementing differentially private machine learning algorithms
- Proficient in programming languages such as Python, R, or Java, and familiar with ML frameworks like PyTorch or Tensorflow
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
- Strong communication skills, with the ability to translate complex technical concepts into easy to understand language
- As a Machine Learning Engineer focused on Differential Privacy (DP), you will play a pivotal role in shaping the future of data privacy
- Collaborate closely with Applied Scientists to understand the nuances of DP and its applications to generative models
- Design, develop, and implement DP algorithms into our existing and future products
- Optimize the performance of DP techniques in a production environment, balancing privacy guarantees with practical utility and efficiency
- Develop adversarial attacks and privacy auditing mechanisms Conduct rigorous testing and validation of DP models to ensure robustness and reliability
- Stay up to date on the latest developments in DP, machine learning, and data privacy regulations to ensure our products are compliant and industry-leading
- Document and communicate technical findings and recommendations to both technical and non-technical stakeholders
-
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Machine Learning Engineer, Differential Privacy - San Diego, CA, United States - Gretel
Description
Machine Learning Engineer, Differential Privacy
Responsibilities
Qualifications
Responsibilities
• Collaborate closely with Applied Scientists to understand the nuances of DP and its applications to generative models.
• Design, develop, and implement DP algorithms into our existing and future products.
• Optimize the performance of DP techniques in a production environment, balancing privacy guarantees with practical utility and efficiency.
• Develop adversarial attacks and privacy auditing mechanisms Conduct rigorous testing and validation of DP models to ensure robustness and reliability.
• Stay up to date on the latest developments in DP, machine learning, and data privacy regulations to ensure our products are compliant and industry-leading.
• Document and communicate technical findings and recommendations to both technical and non-technical stakeholders. Qualifications:
• Master's or Ph.D. in Computer Science, Mathematics, Engineering, or a related field, with a focus on Differential Privacy, Machine Learning, or a related area.
• Proven industry experience in implementing differentially private machine learning algorithms.
• Proficient in programming languages such as Python, R, or Java, and familiar with ML frameworks like PyTorch or Tensorflow.
• Knowledge of data privacy laws and regulations is a plus.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Strong communication skills, with the ability to translate complex technical concepts into easy to understand language. We think the best ideas come from the blending of diverse perspectives and experiences, which will lead to a stronger company and advancements in technologies. We hire individuals whose peers call them subject matter experts, whose curiosity draws them to new edges of their field and who like to laugh. We are deeply collaborative, apolitical and mission-oriented. Gretel is an equal opportunity employer. Individuals seeking employment and employees at Gretel are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. Accommodations: We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. If you need assistance or an accommodation due to a disability, please let your recruiter know. Compensation Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits and perks (additional information available on our career site), and stock options as they'll be reflected in the offer letter
Company information
Gretel is solving the data bottleneck problem for AI scientists, developers, and data scientists by providing them with safe, fast, and easy access to data without compromising on accuracy or privacy. Designed by developers for developers, Gretel's APIs make it easy to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster.You can learn more about synthetic data from Gretel's engineers, data scientists, and AI research team on our blog:
Information Technology, Artificial Intelligence, Software Development, Data Science, Machine Learning, Computer Vision, Natural Language Processing, Chatbots
Company Specialties:
Generative AI, Synthetic Data, Machine Learning, Privacy, and AI