Member of Technical Staff, Forward Deployed

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Series A From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Member of Technical Staff, Forward Deployed San Francisco | OnSite About the Role As a Forward Deployed Engineer at Sieve, you'll work on highly specific dataset problems for frontier AI labs and build the custom algorithms, models, and pipelines needed to solve them. We're looking for someone with a strong bias to action who likes working closely with customers, untangling messy requirements, and shipping fast. You'll work closely with customers and internal teams to understand exactly what data is needed, then turn ambiguous requirements into production systems that can find, generate, filter, transform, evaluate, and package high-quality video datasets at scale. The work often spans computer vision, audio processing, text processing, metadata analysis, model adaptation, and quality evaluation. You should be comfortable moving between research prototypes and reliable production pipelines, using models and APIs creatively, and squeezing performance through pre/post-processing, parallelism, inference optimization, fine-tuning, and evaluation loops. Requirements - Comfortable working directly with customers or external teams to translate ambiguous needs into concrete technical systems - Strong Python developer with hands-on experience in PyTorch or similar ML frameworks - Experience building custom algorithms, model workflows, or large-scale data pipelines - Strong intuition for dataset quality, filtering, labeling, evaluation, and edge cases - Able to break customer-level goals down into the models, heuristics, infrastructure, and QA steps needed to deliver - Writes clean, maintainable code and can move quickly without creating brittle systems - Deep passion for video, media technologies, and frontier AI applications - Motivated by delivering end-to-end outcomes, not

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.