Responsibilities : • Design, build, and evaluate next-generation ranking and recommendation ... The company is currently Late Stage.
Responsibilities : • Design, build, and evaluate next-generation ranking and recommendation ... The company is currently Late Stage.
Lead Software Engineer
Manhattan, NY · On-site
... ranking, and retrieval logic to support discovery, comparison, and decision-making use cases • ... The company is currently Early Stage.
Lead Software Engineer
Manhattan, NY · On-site
... ranking, and retrieval logic to support discovery, comparison, and decision-making use cases • ... The company is currently Early Stage.
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to ... Strong foundation in machine learning, deep learning, and large-scale recommendation/ranking ...
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to ... Strong foundation in machine learning, deep learning, and large-scale recommendation/ranking ...
Applied AI Engineer (AI-Native Marketplace)
$170K - $230K/yr
... company stage. * Technical Interview (60 minutes): Applied system design discussion focused on a real-world AI problem (e.g. matching, ranking, automation), evaluating practical decision-making and ...
Quick apply
Applied AI Engineer (AI-Native Marketplace)
$170K - $230K/yr
... company stage. * Technical Interview (60 minutes): Applied system design discussion focused on a real-world AI problem (e.g. matching, ranking, automation), evaluating practical decision-making and ...
Lead Software Engineer
Manhattan, NY · On-site
... ranking, and retrieval logic to support discovery, comparison, and decision-making use cases • ... The company is currently Early Stage.
Lead Software Engineer
Manhattan, NY · On-site
... ranking, and retrieval logic to support discovery, comparison, and decision-making use cases • ... The company is currently Early Stage.
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to ... Strong foundation in machine learning, deep learning, and large-scale recommendation/ranking ...
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to ... Strong foundation in machine learning, deep learning, and large-scale recommendation/ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · On-site
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · On-site
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · On-site
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · On-site
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · On-site
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · On-site
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Lead Engineer
New York, NY · Hybrid
$112K - $147K/yr
We are a global media company that publishes nearly 200 magazine editions and 175 websites around ... Design end-to-end implementations for recommendation features, from data ingestion through ranking ...
Company Ranking information
What is the difference between Company Ranking vs Customer Service Representative?
| Aspect | Company Ranking | Customer Service Representative |
|---|---|---|
| Required Credentials | Typically no formal credentials required; familiarity with company policies helpful | High school diploma or equivalent; communication skills essential |
| Work Environment | Office or remote; focused on internal company data and performance metrics | Call centers, retail, or office settings; direct interaction with customers |
| Employer & Industry Usage | Used internally by companies to assess performance and reputation | Customer-facing roles across retail, telecom, hospitality, and more |
Company Ranking focuses on evaluating a company's performance and reputation, often through data analysis and internal metrics. Customer Service Representatives interact directly with customers to resolve issues and provide support. While both roles are essential in a business context, they serve different functions: one assesses company standing, the other enhances customer satisfaction.
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Full-time
Re-posted 6 days ago
Job description
Job Summary:
Unity's Vector AI team builds machine learning systems for ad targeting across billions of users. They are seeking a Machine Learning Engineer to develop next-generation recommendation systems that leverage advanced techniques such as reinforcement learning and large language models.
Responsibilities:
• Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience.
• Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions.
• Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery.
• Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality.
• Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model.
• Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams.
Qualifications:
Required:
• PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate).
• Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.
• Experience working with large-scale data and ML systems, whether through research or industry internships.
• Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
• A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal.
• Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences.
Preferred:
• Industry experience in ads, recommendation, or user understanding systems (internship experience counts).
• Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure.
• Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems.
• Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks.
• Exposure to causal inference, uplift modeling, or A/B testing at scale.
• Genuine curiosity about applied research and the drive to see ideas through to impact.
Company:
Unity [NYSE: U] offers a suite of tools to create, market, and grow games and interactive experiences across all major platforms from mobile, PC, and console, to extended reality. Founded in 2004, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Unity's Vector AI team builds machine learning systems for ad targeting across billions of users. They are seeking a Machine Learning Engineer to develop next-generation recommendation systems that leverage advanced techniques such as reinforcement learning and large language models.
Responsibilities:
• Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience.
• Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions.
• Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery.
• Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality.
• Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model.
• Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams.
Qualifications:
Required:
• PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate).
• Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.
• Experience working with large-scale data and ML systems, whether through research or industry internships.
• Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
• A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal.
• Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences.
Preferred:
• Industry experience in ads, recommendation, or user understanding systems (internship experience counts).
• Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure.
• Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems.
• Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks.
• Exposure to causal inference, uplift modeling, or A/B testing at scale.
• Genuine curiosity about applied research and the drive to see ideas through to impact.
Company:
Unity [NYSE: U] offers a suite of tools to create, market, and grow games and interactive experiences across all major platforms from mobile, PC, and console, to extended reality. Founded in 2004, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.