Research Engineer

Job not on LinkedIn

🔥 1 hour ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Research, prototype, and develop AI/ML models and systems for conversational and voice-based applications • Design and build intelligent voice agents that understand user intent, maintain conversational context, and generate natural responses • Work with STT, TTS, NLU, and LLMs to develop end-to-end voice experiences • Experiment with ML architectures, prompting strategies, model configurations, and agentic workflows to improve accuracy, latency, and conversational quality • Develop and evaluate prototypes using Python and modern AI/ML frameworks • Research Generative AI, conversational AI, speech AI, multimodal models, and agent architectures for practical implementation • Create evaluation frameworks, benchmarks, and experiments for model and voice-agent performance • Analyze model outputs, identify failure modes, and improve robustness, relevance, and response quality • Collaborate with software engineers, product teams, and researchers to transition experiments into production systems • Optimize AI/ML pipelines for scalability, inference performance, reliability, and real-time voice interaction • Document research findings, technical approaches, experiments, and results

🎯 Requirements

• 1–4 years of hands-on experience in AI/ML, machine learning engineering, research engineering, or a related field • Strong programming skills in Python and familiarity with AI/ML development workflows • Solid understanding of machine learning and deep learning concepts, including model training, evaluation, optimization, and inference • Hands-on exposure to LLMs, Generative AI, NLP, or conversational AI • Strong understanding of voice agent architectures and conversational AI pipelines • Familiarity with STT, TTS, speech processing, and voice interaction systems • Experience with PyTorch, TensorFlow, Hugging Face, Transformers, or similar technologies • Ability to design experiments, analyze results, troubleshoot model behavior, and iterate rapidly • Strong problem-solving and analytical skills for ambiguous research problems • Experience building or deploying real-time voice agents is good to have • Knowledge of RAG, vector databases, embeddings, function calling, tool use, and agentic workflows is good to have • Familiarity with speech models, audio processing, diarization, wake-word detection, or speech enhancement is good to have • Experience with APIs and AWS, GCP, or Azure is good to have • Knowledge of model serving, inference optimization, quantization, or low-latency AI systems is good to have • Exposure to open-source LLMs and speech models is good to have • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related technical field