Harnham
1 day ago Be among the first 25 applicants
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$280,000.00/yr - $315,000.00/yr Additional compensation types
Annual Bonus Direct message the job poster from Harnham $280,000 – $315,000 Base + Bonus + Equity About the Company We’re a fast-growing online marketplace backed by a major global tech player. Our platform helps millions of people buy and sell items in a way that feels social, personalized, and community-driven. With a strong base of engaged users on both the buying and selling side, we're investing heavily in AI and machine learning to improve product discovery, build smarter seller tools, and make the platform safer and more enjoyable for everyone. We're now growing our ML Engineering team to help make these experiences smarter, faster, and more scalable. About the Role We're looking for a
Staff Machine Learning Engineer
to lead some of the most critical AI/ML initiatives across our platform. You’ll be responsible for designing and building machine learning systems that impact millions of users — from personalized recommendations and smarter search to seller tools and fraud detection. This is a high-impact, hands-on role best suited for someone with deep experience in ML systems who wants to own projects end-to-end and help shape the future of a fast-moving, high-scale marketplace. What You’ll Be Doing Lead development of core ML systems that power recommendations, personalization, and trust & safety Design both batch and real-time pipelines that take models from experimentation to full production Collaborate with data scientists to turn prototypes into scalable, production-ready models Improve and maintain our MLOps systems (serving, monitoring, retraining, etc.) Help set technical direction across multiple teams and mentor other engineers Partner with product and infrastructure teams to drive big-picture decisions Languages & Frameworks:
Python, PyTorch, TensorFlow Tools:
Airflow, Spark, MLFlow, Databricks, Feature Store Infrastructure:
AWS + GCP, supporting real-time and batch workflows Model Serving:
Vector databases, scalable inference pipelines, model monitoring tools What We’re Looking For 7+ years of engineering experience, including 3+ years working on ML systems in production Deep experience building and scaling recommendation, search, or personalization systems Strong understanding of distributed systems, model performance, and production deployment Able to design systems that balance speed, reliability, and cost Bonus: experience working on large-scale marketplaces, e-commerce, or other consumer platforms Why You’ll Love It Here You’ll join a small but mighty team making a real difference in how people shop, discover, and sell online. You’ll have the freedom to lead major projects, contribute to technical strategy, and see your work drive real business results — all within a supportive, fast-paced environment. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Harnham by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
San Francisco Bay Area . Mountain View, CA $145,000.00-$170,000.00 3 days ago Software Engineer, AI Platform - New Grad
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Software Engineer, Frontend (All Levels)
San Francisco, CA $150,000.00-$220,000.00 4 days ago San Francisco, CA $176,000.00-$250,000.00 5 days ago San Francisco, CA $150,000.00-$180,000.00 18 hours ago San Francisco, CA $130,000.00-$240,000.00 5 days ago Software Engineer (L5) - Open Connect Platform
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#J-18808-Ljbffr
$280,000.00/yr - $315,000.00/yr Additional compensation types
Annual Bonus Direct message the job poster from Harnham $280,000 – $315,000 Base + Bonus + Equity About the Company We’re a fast-growing online marketplace backed by a major global tech player. Our platform helps millions of people buy and sell items in a way that feels social, personalized, and community-driven. With a strong base of engaged users on both the buying and selling side, we're investing heavily in AI and machine learning to improve product discovery, build smarter seller tools, and make the platform safer and more enjoyable for everyone. We're now growing our ML Engineering team to help make these experiences smarter, faster, and more scalable. About the Role We're looking for a
Staff Machine Learning Engineer
to lead some of the most critical AI/ML initiatives across our platform. You’ll be responsible for designing and building machine learning systems that impact millions of users — from personalized recommendations and smarter search to seller tools and fraud detection. This is a high-impact, hands-on role best suited for someone with deep experience in ML systems who wants to own projects end-to-end and help shape the future of a fast-moving, high-scale marketplace. What You’ll Be Doing Lead development of core ML systems that power recommendations, personalization, and trust & safety Design both batch and real-time pipelines that take models from experimentation to full production Collaborate with data scientists to turn prototypes into scalable, production-ready models Improve and maintain our MLOps systems (serving, monitoring, retraining, etc.) Help set technical direction across multiple teams and mentor other engineers Partner with product and infrastructure teams to drive big-picture decisions Languages & Frameworks:
Python, PyTorch, TensorFlow Tools:
Airflow, Spark, MLFlow, Databricks, Feature Store Infrastructure:
AWS + GCP, supporting real-time and batch workflows Model Serving:
Vector databases, scalable inference pipelines, model monitoring tools What We’re Looking For 7+ years of engineering experience, including 3+ years working on ML systems in production Deep experience building and scaling recommendation, search, or personalization systems Strong understanding of distributed systems, model performance, and production deployment Able to design systems that balance speed, reliability, and cost Bonus: experience working on large-scale marketplaces, e-commerce, or other consumer platforms Why You’ll Love It Here You’ll join a small but mighty team making a real difference in how people shop, discover, and sell online. You’ll have the freedom to lead major projects, contribute to technical strategy, and see your work drive real business results — all within a supportive, fast-paced environment. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Harnham by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
San Francisco Bay Area . Mountain View, CA $145,000.00-$170,000.00 3 days ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 3 days ago Mountain View, CA $138,225.00-$207,575.00 4 days ago San Francisco, CA $130,000.00-$140,000.00 6 days ago San Francisco, CA $99,500.00-$200,000.00 6 days ago Software Development Engineer I - Frontend & Mobile
Software Engineer, Frontend (All Levels)
San Francisco, CA $150,000.00-$220,000.00 4 days ago San Francisco, CA $176,000.00-$250,000.00 5 days ago San Francisco, CA $150,000.00-$180,000.00 18 hours ago San Francisco, CA $130,000.00-$240,000.00 5 days ago Software Engineer (L5) - Open Connect Platform
United States $100,000.00-$720,000.00 1 week ago San Francisco, CA $60,000.00-$80,000.00 2 weeks ago Frontend Software Engineer - University Graduate 2025
San Mateo, CA $120,000.00-$165,000.00 2 days ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Francisco, CA $99,500.00-$200,000.00 6 days ago San Jose, CA $100,500.00-$173,250.00 1 week ago San Mateo, CA $110,000.00-$135,000.00 3 days ago San Francisco, CA $130,000.00-$250,000.00 5 days ago Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr