Join Salesforce's innovative team as an ML Engineering MTS/SMTS to build cutting-edge generative AI services and components for Einstein GPT vision. This role combines full-stack development expertise with machine learning engineering, focusing on creating scalable AI solutions used by millions daily. The position offers a unique opportunity to work with state-of-the-art LLMs and NLP technologies while building production-level AI frameworks.
The role demands a mix of technical expertise in both software engineering and machine learning, with opportunities to work on challenging problems at scale. You'll be part of a dynamic team that embraces a hybrid work model and values individual growth and autonomy. The position involves collaborating with various stakeholders, from Product Managers to Deep Learning Researchers, to bring innovative technologies to production.
Salesforce offers an exceptional benefits package, including comprehensive healthcare, parental leave, and professional development opportunities. The company's commitment to the 1:1:1 model for giving back to the community adds a meaningful dimension to the role. With a minimum requirement of 3 years (MTS) or 8 years (SMTS) of ML engineering experience, this position is perfect for those looking to make a significant impact in the AI/ML space while working for a global leader in enterprise software.
The ideal candidate will have strong experience with LLMs, prompt engineering, and distributed systems, combined with excellent problem-solving and communication skills. This role offers the chance to shape the future of AI applications while working with cutting-edge technologies in a collaborative, growth-oriented environment.