Pocket FM · 1 day ago
Research Engineer – Applied Generative AI (LLMs & Multimodal Systems)
United States
Full-time
Remote
Mid Level
$200K/yr - $220K/yr
3+ years expPocket FM is where audio storytelling comes to life, powered by cutting-edge AI. As a Research Engineer on our team, you will architect and implement core AI systems that directly impact storytelling experiences for users.
AppsAudioDigital EntertainmentInformation TechnologyMedia and EntertainmentSoftware
Hiring Manager
Shashwat Shukla
Responsibilities
Architect & Implement Fine-Tuning Pipelines: Go beyond notebooks. Design, build, and optimize robust pipelines for fine-tuning foundation models (e.g., LLaMA, Mistral, Qwen) on custom datasets. You'll own the process from data curation and training to evaluation for tasks like narrative generation and dialogue synthesis
Develop & Deploy Multimodal AI Systems: Engineer and productionize models that seamlessly blend modalities. Your primary focus will be on creating state-of-the-art systems for text, speech, and audio generation to power dynamic and immersive storytelling
Own the AI Orchestration Layer: Design and implement a scalable orchestration system (e.g., using LangGraph, Ray, or custom frameworks) to manage complex, multi-agent AI workflows. This includes planning agents, tool-using models, and evaluation layers that work in concert
Build Scalable MLOps Infrastructure: Bridge the gap between models and our production environment. You will integrate generative AI workflows with our cloud infrastructure, ensuring our systems for training, inference, and deployment are efficient, reliable, and scalable
Translate Research into Production-Ready Code: Be the critical link between theoretical research and tangible product features. You'll read the latest papers, identify promising techniques, and write the high-quality, efficient code needed to make them work at scale
Qualification
Required
Proficiency in Python, PyTorch, and the Hugging Face ecosystem (Transformers, Accelerate, PEFT)
Demonstrable experience with frameworks like FSDP, DeepSpeed, or Megatron-LM
Familiarity with AI workflow orchestrators (e.g., LangGraph, Prefect, Ray)
Experience connecting models to cloud infrastructure (AWS, GCP, or Azure)
A track record (ideally 3+ years) of building and shipping machine learning models into production environments
Deep, hands-on experience fine-tuning large language models using techniques like LoRA, QLoRA, DPO, or RLHF
Practical experience building models that integrate multiple modalities (e.g., text-to-speech, audio understanding, vision-language)
Experience building or maintaining the full AI pipeline, from data ingestion to model serving and monitoring
A bias for action and an obsession with shipping robust, efficient code
Preferred
Experience with Retrieval-Augmented Generation (RAG) systems
Building AI agents
Designing novel evaluation frameworks for generative models
Benefits
Competitive compensation
Meaningful employee stock options (ESOPs)
Company
Pocket FM
Pocket FM creates audio series platforms for long-form audio entertainment.
501-1000 employees
H1B Sponsorship
Pocket FM has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Late StageTotal Funding
$212.52MKey Investors
Silicon Valley BankLightspeed India PartnersTencent
2024-03-15Series D· $103M
2023-05-02Debt Financing· $16M
2022-03-03Series C· $64.83M
Leadership Team
Nishanth S.
Co-Founder
Prateek Dixit
Co-Founder
Recent News
2025-12-13
2025-12-06
2025-11-11
Company data provided by crunchbase