Rust Developer

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

Summary,

We’re hiring Rust Developer , It's r100% remote role. If interested so please share your updated resume raj@droisys.com or Meghan.m@droisys.com

Here’s the job details for your reference,

Rust Developer12+ MonthsLATAM

Note : Overlap : 4 hours overlap with PSTMandatory Skills: Rust - 3 yrs, CI/CD - 3 yrs, Git - 3 yrs

Total Years Of exp- 4+ years experience mandatory

About the RoleWe are seeking a proficient Rust Developer with a strong interest in machine learning and human-computer interaction to join our team. In this role, you will contribute to the development and refinement of large language models (LLMs) by participating in Reinforcement Learning from Human Feedback (RLHF) tasks. Your work will involve building tools to facilitate human feedback, as well as directly providing insights to guide the training and improvement of LLMs

Key Responsibilities:Participate in RLHF tasks by providing human feedback on LLM outputs, helping to guide model training.Evaluate the responses generated by LLMs, identifying areas where the model needs improvement and providing qualitative feedback.Work closely with data scientists and ML engineers to ensure that feedback is accurately reflected in the model’s learning process.Collaborate with cross-functional teams to understand the requirements for human feedback in the RLHF process.Provide insights into how human feedback can be systematically incorporated into model training and improvement.Document processes and best practices for providing and integrating human feedback in LLM training.Stay informed about the latest advancements in reinforcement learning, LLMs, and human-computer interaction.Experiment with new methods and tools to improve the collection and integration of human feedback in RLHF tasks.

Requirements:Technical Skills:3+ years of experience in Rust development, with a solid understanding of systems programming, performance optimization, and concurrency.Familiarity with machine learning concepts, particularly reinforcement learning, is highly desirable.Experience with human-computer interaction, user feedback systems, or similar domains is a plus.Proficiency with version control systems (e.g., Git) and CI/CD pipelines.Analytical Skills:Strong problem-solving skills, with the ability to analyze and improve the efficiency of RLHF tasks.Experience in evaluating and providing constructive feedback on AI/ML outputs.

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Key Skills

• Git