Member of Technical Staff - Pre-Training Data
Join Reflection AI as a Member of Technical Staff to design and implement data sourcing and curation techniques for AI models.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
What you'll build
- Design and implement techniques for sourcing and curating data
- Develop data quality metrics and analyses
- Join the pre-training research team to run data experiments
- Investigate and mitigate data risks
- Evaluate dataset changes through experiments
Must have
- Proficiency in Python
- Familiarity with at least one deep learning framework
- Bachelor’s degree or equivalent experience
Nice to have
- Strong grasp of probability and statistics
- Experience with large-scale text or code datasets
- Background in data engineering or dataset construction
- Experience evaluating training data quality
- Contributions to open datasets or research publications
- PhD or equivalent industry research experience
Requirements
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Not disclosed in this posting: compensation, years of experience, work arrangement.
Benefits
Joblaze summary
In this role, the individual will focus on designing and implementing methods for sourcing and curating large datasets, while also developing metrics to assess data quality and diversity. Proficiency in Python and familiarity with deep learning frameworks like PyTorch or JAX are essential, alongside a strong background in machine learning or related fields. This position is suited for candidates with experience in data engineering or dataset construction, particularly those who have contributed to open datasets or research. Reflection AI emphasizes a collaborative environment, aiming to advance the open AI community through responsible data practices.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: JAX, PyTorch, Python.
- Does Reflection AI sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Reflection AI targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff - Pre-Training Data role at Reflection AI.
From the original posting
What You’ll Do:
Design and implement techniques for sourcing, curating, and filtering large-scale web, text, and code data, with opportunities to extend into other modalities as our models evolve.
Develop data quality metrics and analyses that measure coverage, diversity, and representativeness across sources.
Join the pre-training research team to design and run data experiments, working with infrastructure teams to scale the supporting data systems efficiently and reproducibly
Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to support responsible and ethical data use.
Evaluate dataset changes through ablations and scaling experiments, tracing their downstream effects on model learning and behavior.
Publish and present research, and share code, datasets, and insights that move the open AI community forward.
What We're Looking For:
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch or JAX), with experience debugging distributed workloads and writing code that scales.
Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
Clear written communication and the ability to explain complex technical ideas.
Preferred qualifications (we encourage you to apply even if you don’t meet all of these, but at least some):
A strong grasp of probability, statistics, and ML fundamentals, and the ability to tell real effects from noise and bugs in experimental data.
Experience with curation, preprocessing, and analysis of large-scale text or code datasets; exposure to multimodal data is a plus.
Background in data engineering, dataset construction, or large-scale web data processing for machine learning.
Experience evaluating or improving training data quality, and knowledge of data ethics, safety, and licensing frameworks relevant to AI datasets.
Contributions to open datasets, research publications, or data tooling.
PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline; or equivalent industry research experience.
Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Standard company text repeated across Reflection AI's postings is omitted here.