Applied Research Engineer

hireVouch • $130K — $180K *
San Francisco, CA 94112Hybrid
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field.
  • 3+ years of experience solving complex ML challenges with real-world impact.
  • Expertise in designing systems for data quality measurement and enhancement.
  • Deep understanding of frontier AI models like large language models and multimodal models.
  • Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.
  • Track record of publishing in prestigious AI/ML conferences.
  • Strong analytical and problem-solving skills for tackling ambiguous challenges.

Responsibilities

  • Develop cutting-edge AI alignment methods like RLHF and novel approaches.
  • Design and implement systems to measure and improve human-in-the-loop data quality.
  • Create AI-assisted tools for efficient and effective data labeling.
  • Investigate the effect of different types of human feedback on model performance.
  • Optimize human feedback collection with innovative algorithms.
  • Integrate research breakthroughs into scalable product applications.
  • Engage with the AI community to share best practices and understand evolving data needs.

Benefits

  • Opportunity to work on state-of-the-art AI solutions.
  • Collaborative environment with cross-disciplinary teams.
  • Access to ongoing professional development and research opportunities.
  • Potential to publish and present groundbreaking AI research.
  • Make a tangible impact on the field of human-centric AI.
Full Job Description
Role Overview

As an Applied Research Engineer, you will be at the forefront of developing cutting-edge systems and methods to create, analyze, and leverage high-quality human-in-the-loop data for frontier model developers. Your role will involve designing and implementing advanced systems that align human feedback into AI training processes, such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), etc. You will also work on innovative techniques to measure and improve human data quality, and develop AI-assisted tools to enhance the data labeling process. Your expertise in machine learning, frontier model training, and advanced human data alignment techniques will be crucial in pushing the boundaries of AI capabilities and delivering state-of-the-art solutions to meet the evolving needs of our customers.

Your Impact
  • Advance the field of AI alignment by developing cutting-edge methods, such as RLHF and novel approaches, that ensure AI systems reflect human preferences more accurately.
  • Improve the quality of human-in-the-loop data by designing and deploying rigorous measurement and enhancement systems, leading to more reliable AI training.
  • Increase efficiency and effectiveness in AI-assisted data labeling by creating tools that leverage active learning and adaptive sampling, reducing manual effort while improving accuracy.
  • Shape the next generation of AI models by investigating how different types of human feedback (e.g., demonstrations, preferences, critiques) impact model performance and alignment.
  • Optimize human feedback collection by developing novel algorithms that enhance how AI learns from human input, improving model adaptability and responsiveness.
  • Bridge research and real-world application by integrating breakthroughs into our product suite, making human-AI alignment techniques scalable and impactful for users.
  • Drive industry innovation by engaging with customers and the broader AI community to understand evolving data needs and share best practices for training frontier models.
  • Contribute to the AI research ecosystem by publishing in top-tier journals, presenting at leading conferences, and influencing the future of human-centric AI.
  • Stay ahead of AI advancements by continuously exploring new frontiers in human-AI collaboration, human data quality, and AI alignment, keeping us at the cutting edge.
  • Establish us as a thought leader in AI by creating technical documentation, blog posts, and educational content that shape the industry's approach to human-centric AI development.

What You Bring
  • A strong foundation in AI and machine learning, backed by a Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
  • Proven experience (3+ years) in solving complex ML challenges and delivering impactful solutions that improve real-world AI applications.
  • Expertise in designing and implementing data quality measurement and refinement systems that directly enhance model performance and reliability.
  • A deep understanding of frontier AI models-such as large language models and multimodal models-and the human data strategies needed to optimize them.
  • Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow to prototype and develop cutting-edge solutions.
  • A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community.
  • The ability to bridge research and application by interpreting new findings and rapidly translating them into functional prototypes.
  • Strong analytical and problem-solving skills that enable you to tackle ambiguous AI challenges with structured, data-driven approaches.
  • Exceptional communication and collaboration skills, allowing you to work effectively across multidisciplinary teams and with external stakeholders.

About hireVouch

hireVouch Careers

There has never been a more opportune time to join hireVouch, a leading entity in the innovative employment landscape. This company stands out as a beacon of professional growth and diversity, offering a plethora of job opportunities across various sectors.

Explore the Opportunities

At hireVouch, the commitment to innovation and leadership in the industry propels the company forward. Candidates are invited to explore numerous positions, from internships to full-time roles, each packed with benefits aimed at nurturing skills and career advancement.

Engage in Meaningful Work

hireVouch leads with a culture that values diversity and inclusion, ensuring all team members have access to the tools and training necessary for success. The company's environment encourages professional development through leadership training programs and hands-on innovation.

Join a Dynamic Team

Being part of the hireVouch team means more than just filling a position. It's about contributing to a culture of growth, where every member’s input is valued and drives the company forward. Collaboration and networking are at the heart of hireVouch, with a global team dedicated to pushing the boundaries of what's possible.

Innovate and Transform

hireVouch is a hub for those who are driven to innovate. The company offers a platform where creativity meets technology, creating solutions that redefine industries. Professionals at hireVouch lead the charge in deploying groundbreaking strategies that set new standards in the market.

Career Development at hireVouch

The trajectory of a career at hireVouch is filled with endless possibilities. The company supports its team members with robust training programs, access to cutting-edge tools, and opportunities for upward mobility. From mastering technical skills to enhancing leadership capabilities, hireVouch is committed to helping individuals achieve their professional goals.

Diversity and Inclusion

Embracing diversity, hireVouch implements comprehensive diversity training programs that enrich the company’s inclusive culture. This approach not only enhances team dynamics but also contributes to a broader perspective in decision-making and innovation.

Apply Today

Discover the array of job opportunities at hireVouch by exploring open positions that align with your skills and interests. The hiring process at hireVouch is designed to be transparent and engaging, ensuring that every candidate is able to showcase their strengths from the resume submission to the interview stage.

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