Toptal

Toptal

Toptal is a curated talent marketplace connecting freelance software developers, designers, finance experts, product managers, and project managers with businesses globally. With a focus on top 3% talent in software engineering, design, and finance, To...

Construction & Engineering
5K-10K
Founded 2010
$4M raised

Description

  • Advance research on agentic AI systems trained on real-world interaction signals and multimodal data.
  • Design and experiment with learning paradigms for large-scale models, including RAG, supervised fine-tuning, RLHF, DPO, and GRPO-style methods.
  • Develop multimodal representation learning approaches across text, audio, logs, and structured interaction traces.
  • Improve speech and audio intelligence capabilities, including STT, ASR, and audio-driven learning signals.
  • Research methods for enhancing agent reasoning, planning, tool use, and adaptation in real-world environments.
  • Translate complex behavioral and interaction signals into effective training objectives for large-scale models.
  • Build and refine evaluation methodologies for agent performance in real-world, domain-specific scenarios.
  • Collaborate with engineering and product teams to bring research ideas into production systems.
  • Identify patterns in real-world workflows and convert them into generalizable modeling and representation strategies.
  • Contribute to the long-term research direction of Toptal’s agentic AI systems and multimodal capabilities.

Requirements

  • PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.
  • 5+ years of experience in applied AI research or ML systems with production impact.
  • Strong background in large-scale machine learning, LLMs, or multimodal AI systems.
  • Hands-on experience with RAG systems.
  • Experience fine-tuning large language models.
  • Experience with reinforcement learning methods such as RLHF, DPO, or GRPO-style approaches.
  • Experience with VLMs.
  • Strong understanding of representation learning, embeddings, and joint embedding spaces.
  • Experience with speech and audio modeling, including STT, ASR, or audio signal processing.
  • Proficiency in Python and modern ML frameworks such as PyTorch and the Hugging Face ecosystem.
  • Experience designing or improving evaluation methodologies for LLMs or agentic systems.
  • Experience with agentic AI systems, including reasoning, planning, or tool-use architectures.
  • Background in multimodal AI systems across text, audio, vision, or structured logs.
  • Experience embedding AI into real-world products such as browsers, IDEs, or enterprise tools.
  • Experience with real-time or streaming AI systems.
  • Open-source contributions or publications in top-tier ML/AI conferences.
  • Strong ability to define research hypotheses from ambiguous, real-world problems.
  • Outstanding written and verbal communication skills in English.
  • All communication and resumes must be in English.
  • This is a remote position.
  • You must be a world-class individual contributor.

Benefits

  • Full-time remote role.
  • Work as part of Toptal’s fully remote global workforce.
  • Join a support structure that encourages innovation, social interaction, and fun.
  • Opportunity to work on proprietary real-world data and frontier agentic AI systems.

Interested in this position?

Apply directly on the company website

Apply Now

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