... re-ranking) and hallucination controls. • Design offline + online evaluations, golden sets, CI ... The company is currently Late Stage.
... re-ranking) and hallucination controls. • Design offline + online evaluations, golden sets, CI ... The company is currently Late Stage.
Attorney (Estate Planning Strategist) - (Atlanta, Chicago, New York, Dallas)
New York, NY · Remote
$90K - $130K/yr
The Barron's top RIA ranking is based on a combination of metrics - including size, growth, service ... Company Paid Basic Life & AD&D Insurance * Company Paid Short-Term and Long-Term Disability ...
Quick apply
Attorney (Estate Planning Strategist) - (Atlanta, Chicago, New York, Dallas)
New York, NY · Remote
$90K - $130K/yr
The Barron's top RIA ranking is based on a combination of metrics - including size, growth, service ... Company Paid Basic Life & AD&D Insurance * Company Paid Short-Term and Long-Term Disability ...
Policy Manager, Search - Trust and Safety
New York, NY · On-site
$121K - $272K/yr
... ranking, and AI features (e.g., AI Overviews, Snippets). - Work closely with cross-functional ... The Company reserves the right to modify or change these benefits programs at any time, with or ...
Policy Manager, Search - Trust and Safety
New York, NY · On-site
$121K - $272K/yr
... ranking, and AI features (e.g., AI Overviews, Snippets). - Work closely with cross-functional ... The Company reserves the right to modify or change these benefits programs at any time, with or ...
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.
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 ...
Senior Engineering Manager, Agent Context
Manhattan, NY · On-site
$264 - $300/hr
This team owns how the company's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding pipelines, ranking systems, and evaluation frameworks that ...
Senior Engineering Manager, Agent Context
Manhattan, NY · On-site
$264 - $300/hr
This team owns how the company's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding pipelines, ranking systems, and evaluation frameworks that ...
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 · 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 · 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 · 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 ...
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 12 days ago
Job description
Job Summary:
Damco Solutions is seeking an AI Research Engineer / Data Scientist to own the end-to-end delivery of LLM systems and agentic workflows. The role involves leading the architecture and evaluation strategy, productionizing services, and mentoring junior team members while collaborating with product and stakeholders.
Responsibilities:
• Lead POC → pilot → production for LLM/agent solutions (tool/function calling, planning, fallbacks).
• Architect retrieval stacks (chunking strategies, hybrid search, metadata, re-ranking) and hallucination controls.
• Design offline + online evaluations, golden sets, CI eval gates, and experiment frameworks for correctness, faithfulness, safety, and bias.
• Implement confidence scoring and calibration (retrieval/LLM agreement, self-consistency, logprobs/entropy) with abstain/deferral and user-visible citations.
• Optimize cost/latency/reliability (caching, batching, routing, distillation/quantization where useful).
• Stand up secure APIs/services with observability, tracing, RBAC, and audit logs; uphold privacy and compliance requirements.
• Advise on prompting vs. fine-tuning/LoRA; own model and vendor selection and trade-offs.
• Mentor teammates; collaborate on roadmaps and stakeholder-facing KPIs.
Qualifications:
Required:
• 4–8+ years in applied ML/data/engineering, with shipped LLM applications (RAG, agent/tool calling, structured extraction, domain QA).
• Demonstrated ownership of eval strategy (golden sets, pass/fail thresholds, A/B) and integration of eval gates into CI/CD.
• Hands-on confidence & calibration techniques and production abstention/deferral policies.
• Deep retrieval experience (hybrid search, filters, re-ranking, chunking) and mitigation of hallucinations.
• Strong Python engineering (FastAPI), SQL/data wrangling, containers, and observability (logs/spans/metrics).
• Cloud experience (Azure/AWS/GCP) and vector/search tech (e.g., Azure AI Search, Elasticsearch, Pinecone/FAISS).
• Track record of taking ambiguous business problems to measurable outcomes and shipping on timelines.
Preferred:
• Fine-tuning/LoRA, prompt routing, multi-agent orchestration (planner/critic/tool catalogs).
• Advanced uncertainty: calibration curves, conformal methods, or LLM-as-a-judge with safeguards.
• Distillation/quantization and model serving efficiency; GPU/CPU trade-offs.
• Document AI (layout-aware models, VLMs), Snowflake/Databricks, Airflow/Prefect.
• Safety/compliance leadership (red-teaming playbooks, model cards, DPIA/PIA inputs).
• Domain expertise (e.g., insurance/finance/healthcare) and regulated data handling.
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Damco Solutions is seeking an AI Research Engineer / Data Scientist to own the end-to-end delivery of LLM systems and agentic workflows. The role involves leading the architecture and evaluation strategy, productionizing services, and mentoring junior team members while collaborating with product and stakeholders.
Responsibilities:
• Lead POC → pilot → production for LLM/agent solutions (tool/function calling, planning, fallbacks).
• Architect retrieval stacks (chunking strategies, hybrid search, metadata, re-ranking) and hallucination controls.
• Design offline + online evaluations, golden sets, CI eval gates, and experiment frameworks for correctness, faithfulness, safety, and bias.
• Implement confidence scoring and calibration (retrieval/LLM agreement, self-consistency, logprobs/entropy) with abstain/deferral and user-visible citations.
• Optimize cost/latency/reliability (caching, batching, routing, distillation/quantization where useful).
• Stand up secure APIs/services with observability, tracing, RBAC, and audit logs; uphold privacy and compliance requirements.
• Advise on prompting vs. fine-tuning/LoRA; own model and vendor selection and trade-offs.
• Mentor teammates; collaborate on roadmaps and stakeholder-facing KPIs.
Qualifications:
Required:
• 4–8+ years in applied ML/data/engineering, with shipped LLM applications (RAG, agent/tool calling, structured extraction, domain QA).
• Demonstrated ownership of eval strategy (golden sets, pass/fail thresholds, A/B) and integration of eval gates into CI/CD.
• Hands-on confidence & calibration techniques and production abstention/deferral policies.
• Deep retrieval experience (hybrid search, filters, re-ranking, chunking) and mitigation of hallucinations.
• Strong Python engineering (FastAPI), SQL/data wrangling, containers, and observability (logs/spans/metrics).
• Cloud experience (Azure/AWS/GCP) and vector/search tech (e.g., Azure AI Search, Elasticsearch, Pinecone/FAISS).
• Track record of taking ambiguous business problems to measurable outcomes and shipping on timelines.
Preferred:
• Fine-tuning/LoRA, prompt routing, multi-agent orchestration (planner/critic/tool catalogs).
• Advanced uncertainty: calibration curves, conformal methods, or LLM-as-a-judge with safeguards.
• Distillation/quantization and model serving efficiency; GPU/CPU trade-offs.
• Document AI (layout-aware models, VLMs), Snowflake/Databricks, Airflow/Prefect.
• Safety/compliance leadership (red-teaming playbooks, model cards, DPIA/PIA inputs).
• Domain expertise (e.g., insurance/finance/healthcare) and regulated data handling.
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Damco Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Princeton, NJ, US
Year founded
1996