Join Sesame as a Research Engineer to innovate in NLP, Speech, and Computer Vision with a focus on deep learning.
Posted by employer 4 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 16 hours ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Research Engineer at Sesame, the individual will focus on developing and refining evaluation pipelines for speech and multimodal models, ensuring their performance in production. Proficiency in PyTorch and experience with large-scale machine learning models are essential, alongside a strong background in software engineering. This position is ideal for someone with a proven track record in deploying user-facing ML systems and the ability to navigate complex project requirements. Sesame's innovative team, composed of industry veterans, fosters a fast-paced environment that encourages rapid prototyping and collaboration.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Computer Vision, Deep Learning, NLP, PyTorch, Speech.
- What seniority level is this role?
- Sesame targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer role at Sesame.
From the original posting
About the Role
New and novel approaches are needed to realize all of our product goals. As a Research engineer at Sesame, you are a research-oriented person with experience in. You are up to date on recent papers and approaches and you have the creativity and the intuition to come up with new solutions based on the application at hand.
Responsibilities
Design, build, and ship novel architectures and models to production.
Scale LLM training and inference, improving latency, throughput, and cost.
Build robust training and evaluation pipelines.
Develop tooling for safe, versioned, privacy-aware dataset curation and discovery.
Required Qualifications:
Strong, hands-on experience with PyTorch.
Solid software engineering skills and a genuine interest in ML, with experience writing production code across the stack.
Practical experience training or fine-tuning LLMs, and a good understanding of how LLM training algorithms work.
Experience designing evaluation metrics and harnesses that reflect real user experience.
Familiarity with the ML lifecycle: dataset operations, training pipelines, evaluation frameworks, deployment, and monitoring.
Experience shipping complex projects to production, ideally user-facing or online ML systems, and adapting as requirements change.
Good judgment about when to work independently and when to bring in teammates.
Experience contributing to technical direction, building consensus, and working well with product, infrastructure, and research partners.
Full-time Employee Benefits:
401 (k) max employer match: 3.5% of compensation
Unlimited PTO and sick time
Guardian Employee Assistance Program (EAP)
Benefits do not apply to contingent/contract workers.
Standard company text repeated across Sesame's postings is omitted here.