
Senior/Staff MLE
Posted Aug 7

Posted Aug 7
This is a fully remote position, open to applicants in California.
• Spearhead the creation and implementation of tailored LLM solutions for enterprise clients.
• Convert unclear business challenges into precisely defined ML problems with established success criteria and assessment methods.
• Construct custom models utilizing Cohere’s foundation model stack, CPT recipes, post-training pipelines including RLVR, and data resources.
• Innovate cutting-edge modeling techniques to improve model performance for client-specific use cases.
• Contribute to enhancements of the foundation-model stack, such as capabilities, tuning strategies, and evaluation frameworks.
• Collaborate with enterprise clients to pinpoint high-value opportunities for LLM applications.
• Offer technical guidance throughout discovery, scoping, modeling, deployment, agent workflows, and post-deployment refinement.
• Establish evaluation frameworks and success metrics for custom modeling projects.
• Mentor engineers across distributed teams.
• Foster clarity in uncertain situations, promote alignment, and elevate engineering and modeling quality throughout the organization.
• Strong foundation in machine learning and the ability to frame intricate, ambiguous challenges as ML solutions.
• Proficiency in Python and core ML/LLM frameworks.
• Experience with large-scale datasets and distributed training or inference pipelines.
• Knowledge of LLM architectures, tuning techniques including CPT and post-training, and evaluation methodologies.
• Proven capability to significantly influence LLM performance.
• Experience interacting directly with clients or stakeholders to design and implement ML-driven solutions.
• History of providing technical leadership at the team level.
• Comprehensive understanding of the ML research landscape and a passion for advancing the state of the art.
• Proactive approach, strong sense of ownership, and comfort with uncertainty.
• Humility and strong collaborative instincts.
• Deep belief that AI should effectively empower individuals and organizations.
• Weekly lunch stipend of $75/£75 or its equivalent in local currency.
• Comprehensive health and dental coverage.
• Dedicated mental health budget.
• RRSP matching.
• 401K.
• Pension Scheme.
• 100% parental leave top-up for up to 6 months for either parent.
• Annual benefits for arts and culture.
• Annual fitness and wellness benefits.
• Annual quality time benefit.
• Workspace enhancement credit.
• Education and learning stipend for conferences, courses, and coaching.
• 6 weeks of paid vacation (30 working days).
• Budget for traveling to other offices if working remotely.
• Annual company offsite.
• Co-working benefit for those not located near an office.
• $500 home office stipend.
• Daily lunch program, snacks, and community and social events for those in the office.
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