AI/ML Engineer Job at Unreal Gigs, San Francisco, CA

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  • Unreal Gigs
  • San Francisco, CA

Job Description

We're seeking exceptional engineers to drive our ambitious goals forward! We need individuals with extraordinary skills who can thrive in our fast-paced environment and deliver consistently outstanding results.

Requirements

In this role, you will:

  • Elevate our retrieval-augmented generation (RAG) capabilities by ensuring efficient integration and utilization of diverse data sources.
  • Focus on enhancing embedding generation techniques, optimizing them for both accuracy and efficiency.
  • Stay updated on the latest advancements in AI models, understanding their evolving capabilities and complexities of integration. You'll become the team's go-to expert, assisting end-users in selecting the most suitable models for their use cases.
  • Collaborate closely with both backend and frontend teams to seamlessly integrate AI models into our products and services.
  • Prioritize customer needs and build strong relationships by actively engaging in customer support alongside other team members.

You'll excel in this role if you have:

  • A Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields.
  • Demonstrated expertise in machine learning and AI, particularly in generative models.
  • Proficiency in implementing retrieval-augmented generation pipelines.
  • Strong programming skills in Python and hands-on experience with popular machine learning frameworks like TensorFlow or PyTorch.
  • Familiarity with embedding techniques and their practical applications in AI models.
  • Exceptional problem-solving abilities and a track record of thriving in fast-paced environments.
  • Excellent communication and collaboration skills.

You'll stand out if you also possess:

  • A PhD in a relevant field, showcasing your advanced expertise.
  • Published research or projects in generative AI, embeddings, or retrieval-augmented generation.
  • Experience with deploying large-scale ML models in production environments.
  • Contributions to open-source AI/ML projects, highlighting your proactive involvement in the community.
  • In-depth knowledge of generative AI hardware, including GPU architectures, requirements, and optimization techniques for AI model deployment.

Benefits

  • Competitive salary package with performance-based bonuses
  • Stock options, allowing you to share in the company's success and growth
  • Comprehensive health insurance coverage for you and your dependents
  • Flexible work hours and the option for remote work, promoting work-life balance
  • Professional development opportunities, including access to conferences, workshops, and courses to enhance your skills
  • Wellness programs and fitness stipends to support your physical and mental well-being
  • Generous vacation and paid time off policies to encourage relaxation and rejuvenation
  • Company-sponsored social events and team-building activities to foster a positive work culture
  • Opportunities for career advancement and growth within the organization

Job Tags

Full time, Remote job, Flexible hours,

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