Machine Learning Engineer, Applied Research and Model Development
Description For Machine Learning Engineer, Applied Research and Model Development
Lightfield is revolutionizing the CRM space with an AI-powered collaborative system designed specifically for founders to enhance customer relationships. As a Machine Learning Engineer focusing on Applied Research and Model Development, you'll be joining a team that includes veterans from projects like Llama, Messenger, Instagram, Pinterest, and LinkedIn.
The role centers on developing domain-specific AI that surpasses generic LLMs in performance. You'll be at the forefront of creating innovative AI experiences that transform how sales teams operate, working directly with founders and executives to shape the company's AI/ML strategy. Your responsibilities will span from pioneering new model training approaches to prototyping LLM-powered features that become core product offerings.
The ideal candidate brings 5+ years of NLP industry experience and deep expertise in model training, particularly with LLMs. You'll need strong practical experience with ML Ops and a proven track record of adapting open-source generative models for specific use cases. The role offers an opportunity to shape the future of AI-powered CRM while working with cutting-edge technology.
What makes this role particularly exciting is the chance to build something truly innovative in the CRM space, working with a team of experienced professionals who have contributed to some of tech's most impactful products. The compensation package includes a competitive salary range of $180K-$270K plus equity, reflecting the senior nature of the position and its strategic importance to Lightfield's mission.
Responsibilities For Machine Learning Engineer, Applied Research and Model Development
- Create and ship magical, highly-differentiated AI experiences that sales teams can't live without
- Craft Lightfield AI/ML strategy in tight collaboration with founders and execs
- Pioneer the training of new models that leverage both historical data and synthetic training data
- Prototype innovative, LLM-powered experiences, and drive their development into robust product features
- Help build a world class AI/ML engineering team by recruiting and mentoring teammates
Requirements For Machine Learning Engineer, Applied Research and Model Development
- 5+ years of industry experience in NLP, with a strong portfolio of model training
- Strong understanding of deep learning AI/ML frameworks or cloud services
- Hands-on ML Ops experience
- Deep expertise in NLP and model training, specifically with LLMs
- Proven experience adapting open-source generative models for specific use cases
Benefits For Machine Learning Engineer, Applied Research and Model Development
- Equity
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