Machine Learning Engineer

At Across.ai, we are developing an engagement system to enhance salespeople's workflows with AI, addressing their needs from start to finish. Our extensive experience in both AI and sales uniquely positions us to tackle this challenge. Our founders, who hold PhDs from Stanford and served as faculty at UC Berkeley and USC, bring unique expertise to our mission.

We’re looking for a Machine Learning Engineer to join us!

What you’ll do:
• Create large language models that help drive value for users and Across AI
• Evaluate the technical tradeoffs of every decision
• Perform code reviews and ensure exceptional code quality
• Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities:
• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Ability to work with both internal and external partners
• Skilled at solving open ambiguous problems
• Strong collaboration and mentorship skills

Role Description and Responsibilities:

• Development and deployment of ML/AI-based algorithms and agents 

• Collaborate with product and engineering teams to design, implement, and improve AI algorithms and models for specific enterprise use cases

• Expertise in prompting, benchmarking and fine-tuning LLMs to achieve optimal output

• Having up-to-date knowledge about putting foundation models and action models to work and familiarity with the theory

Requirements:

• Proficiency in ML models/algorithms, as well as experience with Foundation models such as LLMs, open source models, and multimodal models

• Proven track record in designing, benchmarking, optimizing, productionizing, and deploying AI models at scale.

• At least 2 years of hands-on experience in developing and deploying AI applications

• Strong programming skills in Python and with ML/AI libraries

• Proficient in analyzing, experimenting with, and iterating over ML models

• Bachelor's or Master's degree in Computer Science or a related field.

• Ability to design and optimize algorithms for performance

Compensation and Benefits:

• Competitive compensation includes salary and stock options