MOUNTAIN VIEW, CAPosted 19 days ago

Job summary

• Job post source

  This job is from a recruiting firm hiring for a separate company as indicated by the phrase 'Our client' and the indirect reference to DeepRec.ai.

• Job overview

  The Applied AI Researcher role at DeepRec.ai involves developing and deploying large language model-based AI solutions to improve AI model performance through a crowdsourced evaluation platform.

• Responsibilities and impact

  The candidate will monitor AI trends, evaluate and integrate new technologies, develop and maintain LLM applications, manage ML pipelines, communicate technical concepts, document research, collaborate with cross-functional teams, and contribute to product strategy.

• Compensation and benefits

  The position offers a salary range of $180,000 to $250,000 depending on experience, with a full-time schedule of four days per week in Mountain View; other benefits are not specified.

• Experience and skills

  Candidates should have a Bachelor's or Master's in a quantitative field (PhD preferred), at least 3 years of AI and ML development experience, proven production deployment of AI models, advanced Python skills, and expertise with ML frameworks like PyTorch, TensorFlow, NumPy, and JAX.

• Company information

  DeepRec.ai is a well-funded startup backed by top-tier VCs, building a crowdsourced platform that uses gamification and blockchain for transparent, high-quality human preference data to enhance AI model reliability.

• Job location and travel

  The job is located in Mountain View with a requirement to work four days per week onsite.

• Unique job features

  The role offers the unique opportunity to work at the intersection of AI, product development, and decentralized data using innovative approaches like gamification and blockchain technology.

Company overview

DeepRec.ai is a technology company based in Los Angeles, California, specializing in advanced artificial intelligence and machine learning solutions. The company focuses on computer vision, data science, and predictive modeling to develop cutting-edge technologies. DeepRec.ai makes money by offering high-impact AI solutions and hiring top-tier talent for roles such as data scientists, computer vision engineers, and machine learning scientists. The company also fosters a community of innovators and deep tech enthusiasts through initiatives like the DeepRec.AI Leadership Lab, which aims to decode the future of technology.

How to land this job

• Tailor your resume to highlight your expertise with large language model frameworks, generative AI solutions, and production deployment experience, as these are central to the Applied AI Researcher role at DeepRec.ai.

• Emphasize your proficiency in Python and key ML frameworks like PyTorch, TensorFlow, NumPy, and JAX, along with your knowledge of machine learning algorithms, data structures, and MLOps practices to align with the job requirements.

• Apply through multiple platforms including DeepRec.ai's official careers page, LinkedIn job postings, and reputable AI-focused job boards to maximize your application visibility.

• Connect with AI research and engineering team members at DeepRec.ai on LinkedIn; start conversations by referencing recent AI trends, asking about their work on generative AI, or expressing enthusiasm for their innovative use of blockchain in AI data transparency.

• Optimize your resume for ATS by incorporating keywords such as 'large language models,' 'generative AI,' 'MLOps,' 'model deployment,' and the specific ML frameworks mentioned, ensuring your resume passes initial automated screenings.

• Leverage Jennie Johnson's Power Apply feature to automate tailored applications, discover multiple application channels, and identify LinkedIn contacts for networking, allowing you to focus your time on preparing for interviews and skill development.