AI Machine Learning Lead
3 weeks ago
As a seasoned AI and machine learning professional, you will lead high-impact engineering initiatives that push the boundaries of our Einstein Platform. This is an exceptional opportunity to drive technical innovation, mentor engineers, and make strategic decisions that shape the future of our business.
Key Responsibilities- Design and Lead High-Scale Machine Learning Services: Collaborate with pioneering technologies like Sagemaker, TensorFlow, PyTorch, Triton, and Spark to build scalable, distributed machine learning services on a modern containerized stack using Kubernetes and Spinnaker.
- Drive Microservices Architecture: Lead the design, development, and ongoing optimization of microservices architectures for machine learning pipelines, APIs, and model management systems.
- Ownership of Core Technology: Take ownership of core platform technologies related to orchestrated machine learning APIs, from design to delivery, driving continuous improvement and scalability of the platform.
- Lead High-Impact Engineering Initiatives: Spearhead projects that significantly impact product growth, applying your expertise to mentor engineers and make strategic technical decisions.
- Maintain Service Reliability: Balance live-site management with the delivery of new features and technical debt resolution. Participate in on-call rotations to resolve complex, real-time issues and ensure high availability of services.
- 3+ years of hands-on experience with Big Data, machine learning, and microservices architectures.
- Proven experience leading highly impactful projects, from inception to delivery, with a focus on large-scale machine learning services (e.g., training & inference pipelines, predictive and generative models).
- Strong programming expertise in JVM-based languages (Java, Scala) and Python.
- Experience with distributed systems and cloud platforms like AWS, GCP, or Azure, including services like OpenSearch, DynamoDB, EMR, S3, and Google Cloud ML.
- Expertise with open-source projects and technologies such as Spark, Kafka, Feast, and Iceberg.
We offer a competitive base salary between $125,700 to $208,800, depending on location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits, and more. Learn more about our company benefits at https://www.salesforcebenefits.com.
Equality at SalesforceSalesforce believes that the business of business is to improve the state of our world. We are committed to creating a workforce that reflects society through inclusive programs and initiatives. Learn more about Equality at https://www.equality.com.
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