144 Principal Machine Learning Engineer Jobs in San Francisco, CA
LHH is Hiring a Principal Machine Learning Engineer Near San Francisco, CA
The ideal candidate will spearhead our data engineering initiatives, focusing on the development and optimization of data pipelines that support machine learning models to enhance our advertising technology solutions. You will play a key role in shaping our data strategy to enable the next generation of machine learning models for our Ad Business.
Responsibilities:
- Lead the design, implementation, and ongoing enhancement of data pipelines for machine learning that drive our AdTech platform.
- Collaborate with cross-functional teams to understand business objectives and translate them into sophisticated data models and algorithms.
- Oversee the collection, storage, and processing of large-scale data sets to ensure they are optimized for machine learning applications.
- Develop and maintain a robust and scalable data infrastructure that supports both real-time and batch data processing.
- Stay current with industry trends and advancements in AdTech and machine learning to identify and implement best practices.
- Mentor senior data engineers and data scientists, fostering a culture of technical excellence and innovation.
- Ensure all data engineering and machine learning activities comply with data privacy and regulatory standards.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- At least 7 years of experience in data engineering with a focus on machine learning models, ideally within the AdTech sector.
- Proficiency in programming languages such as Python, Scala, or Java.
- Extensive experience with big data technologies (e.g., Flink, Spark) and cloud platforms (preferably GCP, but also AWS).
- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in deploying ML models at scale.
- Proven ability to lead projects and work collaboratively with cross-functional teams.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
Pay Details: $239,000.00 to $323,000.00 per year
Search managed by: Devin Hurley
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
- The California Fair Chance Act
- Los Angeles City Fair Chance Ordinance
- Los Angeles County Fair Chance Ordinance for Employers
- San Francisco Fair Chance Ordinance
Job Summary
Full Time
Hospital
$175k-221k (estimate)
09/08/2024
10/04/2024
lenoxhill.northwell.edu
NEW YORK, NY
1,000 - 3,000
Private
FRANCK DANZA
$1B - $3B
Hospital
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The job skills required for Principal Machine Learning Engineer include Machine Learning, Python, AWS, Computer Science, Data Engineering, Big Data, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Principal Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Principal Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Principal Machine Learning Engineer, it can be promoted into senior positions as a Lead AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Machine Learning Engineer. You can explore the career advancement for a Principal Machine Learning Engineer below and select your interested title to get hiring information.
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