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Title: Machine Learning Research Engineer Office Type: Onsite, 5 Days a Week
Salary: $250,000 - $300,000 + Equity
Company Description Our client is a rapidly advancing venture-backed startup committed to revolutionizing enterprise customer support with cutting-edge AI agents. With a robust $100M in funding and collaborations with leading tech brands, this company is at the forefront of conversational AI advancements. Founded by experienced entrepreneurs and supported by top investors, the team is creating sophisticated, autonomous systems that manage complex support tasks with remarkable precision and human-like responsiveness.
Join a team of dynamic innovators and researchers who are redefining the role of AI in meeting real business demands at scale.
What You Will Do As the inaugural
Machine Learning Research Engineer, you will spearhead initiatives to optimize and implement large language models central to our client's enterprise AI platform. Your responsibilities will include:
- Designing and executing experiments to enhance model performance across diverse applications.
- Fine-tuning both open and closed source LLMs to boost their accuracy, contextual understanding, and instruction adherence.
- Assessing and deploying models in production, tracking their performance, and iterating for continual improvement.
- Collaborating closely with product and engineering teams to grasp customer requirements and seamlessly integrate ML solutions.
- Contributing to the vision for model enhancement and R&D strategies.
- Functioning independently with complete ownership of the ML stack.
Ideal Candidate Background We seek individuals who flourish in a high-stakes, early-stage setting and are passionate about both research and implementation. The ideal candidate will possess:
- 4+ years of experience in ML/AI engineering or applied research.
- A proven track record of transforming ML projects from conception to deployment.
- Hands-on experience fine-tuning LLMs (e.g., GPT, LLaMA, Claude, Mistral).
- Familiarity with a wide range of model architectures, encompassing both open and closed source.
- A solid foundation as a machine learning engineer, distinct from a generalist software engineer or data scientist.
- A CS degree from a prestigious university.
- Experience at a leading tech or AI-centric company (e.g., Meta, Google, Nuro).
- Strong independence and the ability to operate effectively without a research team.
- Enthusiasm for in-person collaboration in a vibrant, fast-paced environment.
Preferred Qualifications - Publications or open-source contributions showcasing thought leadership in ML/AI.
- Experience with reinforcement learning or agent-based behavior modeling.
- Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).
- Startup experience or a demonstrated capability to excel in high-autonomy roles.
Compensation and Benefits - Base Salary: $250,000 - $300,000
- Equity: Competitive and substantial
- Visa Sponsorship: Available for qualified candidates
- Benefits: Comprehensive medical, dental, and vision coverage, generous PTO, in-office perks, and the privilege of working alongside some of the brightest talents in applied AI.