Address: San Francisco, CA 94102
Telephone: 901-207-8038
Email Address: smithassociates1725@gmail.com
Hours: Office Hours – 3:30 PM – 8:00 PM CST
We are seeking an accomplished and experienced Staff Machine Learning Engineer – Safety ML to join our dynamic team. As a technical lead of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross-functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and cutting-edge solutions that improve safety on the platform, this role reports to the Senior Manager of Machine Learning, Safety.
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Position Title : Staff Software Engineer, Machine Learning (Safety)
ATTENTION : ” $TOP PAY “(Interviewing Now)
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Location : San Francisco, CA
Full time : Machine Learning
Summary :
– We are seeking an accomplished and experienced Staff Machine Learning
Engineer – Safety ML to join our dynamic team.
– As a technical lead of the Safety ML team, you will be responsible for designing,
developing, and maintaining our data and AI/ML infrastructure and services.
– You will collaborate with cross-functional teams, including data scientists,
software engineers, MLEs and product managers, to deliver modern and
cutting-edge solutions that improve safety on the platform, this role reports to the
Senior Manager of Machine Learning, Safety.
What You’ll Be Doing :
– Serve as the team’s technical lead and mentor, guiding ICs through
design, experimentation, and implementation while raising the technical bar.
– Define and drive the Safety ML team’s technical strategy and roadmap.
– Set the bar in technical reviews, including code, design, and architecture,
ensuring the team builds scalable, robust, and high-quality ML systems.
– Collaborate cross-functionally with product, data science, policy, legal, and
engineering partners to align on safety goals and deliver effective solutions.
– Tackle the most complex and high-impact challenges in safety, including
adversarial abuse, harmful content detection, and evolving threat vectors.
– Develop cutting-edge safety techniques, applying state-of-the-art ML to
detect and prevent harm while staying ahead of emerging abuse patterns
– Influence the company’s direction on safety, clearly communicating trade
offs and technical constraints to senior leadership and stakeholders.
What you should have :
– 5+ years of experience in ML engineering or applied ML roles.
– 2+ years of experience applying ML in Trust & Safety to counter adversarial
actors.
– Strong coding skills in Python and fluency in ML frameworks such as
PyTorch, JAX, or TensorFlow.
– Proven experience building performant machine learning systems at scale
and have driven the execution of large, impactful projects from ideation to
production.
– Ability to think from first principles, approaching complex problems with
creativity, clear reasoning, and pragmatic solutions.
– A growth mindset: seeking feedback, reflecting on decisions, and
continuously improving.
– Excellent communication and collaboration skills, with a history of partnering
effectively across engineering, data science, legal, policy, and product teams.
– Bachelor’s or Master’s degree in Computer Science, Machine Learning,
Statistics, or a related field (Physics, Math, Operations Research, etc.)
Benefits :
– The US base salary range for this full-time position is $272,000 to $306,000
+ equity + benefits.
– Our salary ranges are determined by role and level.
– Within the range, individual pay is determined by additional factors, including
job-related skills, experience, and relevant education or training.
– Please note that the compensation details listed in US role postings reflect the
base salary only, and do not include equity, or benefits.
For consideration you must act now, send resume to
smithassociates1725@gmail.com. Sincerely,
Gerald Smith
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