Machine Learning Engineer developing consumer - facing AI features powered by LLMs at Quora. Collaborating with engineers and optimizing production AI systems for enhanced user engagement.
About the role
- Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
Responsibilities
- Propose and frame original, research-grade ML problems rooted in your domain
- Design evaluation tasks that require specialized knowledge well beyond standard pipelines
- Assess AI-generated solutions for correctness, creativity, and methodological rigor — and explain exactly where and why they fall short
- Document problem difficulty, required domain knowledge, and expected failure modes
Requirements
- Graduate-level expertise (MS or PhD preferred) in a scientific or technical domain that intersects with ML
- Strong working knowledge of ML methods — model selection, feature engineering, evaluation metrics
- Deep familiarity with active research problems in your field — you know where general ML knowledge runs out
- Excellent written communication — you can articulate complex problems clearly and precisely. This cannot be overstated.
- Self-motivated and comfortable working independently on intellectually demanding tasks
Benefits
- Fully remote — work from anywhere
- Assessment required — paid if approved
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Staff Machine Learning Engineer on Merchant team at Pinterest. Leading ML initiatives to enhance merchant quality and improve user shopping experiences.
Machine Learning Engineer at Sumsub building ML solutions combating fraud and identity theft. Work with global teams in a fully remote setting allowing product autonomy.
Associate Deep Learning Engineer implementing deep learning and computer vision algorithms at NBCUniversal. Collaborating with cofounders to meet technical milestones and deploying code on geospatial datasets.
Staff Product Manager leading Vegetation Intelligence at Overstory, harnessing machine learning to enhance utility vegetation management. Overseeing product strategy and development for critical vegetation insights.
Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
MLOps/LLMOps Architect designing AI solutions for a next - gen AI platform in Canada. Collaborating with teams on architecture, deployment, and governance in AI environments.
Deep Learning Engineer at NBCUniversal implementing algorithms in computer vision and graphics. Transforming high dimensional data into high - fidelity content using advanced techniques.
Staff Deep Learning Engineer at NBCUniversal implementing core algorithms for 2D and 3D media datasets. Collaborating with cofounders and deploying large - scale algorithms for high - fidelity content.
Staff MLOps Engineer responsible for building infrastructure for AI/ML at NBCUniversal. Managing large media datasets, deploying models, and automating data pipelines.