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1–10 jobs· newest first

Platform Engineer (AWS)New
Peraton · Colorado Springs, US
$112K–$179KOn-site · Full-time · Senior
Research Engineer, QC AutomationNew
Clera · Singapore, Singapore
$100K–$170KOn-site · Full-time · MidVisa
Research Engineer, BenchmarksNew
Clera · Singapore, Singapore
$100K–$170KOn-site · Full-time · MidVisa
Developer RelationsNew
Clera · San Francisco, US
$130K–$180KOn-site · Full-time · Mid
Research Engineer, Synthetic DataNew
Clera · Singapore, Singapore
$100K–$170KOn-site · Full-time · MidVisa
Forward Deployed Research EngineerNew
Clera · Singapore, Singapore
$100K–$170KOn-site · Full-time · MidVisa
Founding Engineer (AI/ML)New
Clera · San Francisco, US
$130K–$170KOn-site · Full-timeVisa
Vice President, Data Ingestion & IntegrationNew
Ares Management Corporation · New York, US
$210K–$230KOn-site · Full-time · Vp
Vice President, Data Engineering & Data ProductsNew
Ares Management Corporation · New York, US
$210K–$230KOn-site · Full-time · Vp
Associate, Data Platform EngineeringNew
Ares Management Corporation · New York, US
$85K–$100KFull-time · Associate

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Platform Engineer (AWS)

Peraton · Posted Nov 11, 2026

Colorado Springs, Colorado, United States
On-site
Full-time · Senior
$112K–$179K per year
8+ years

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Build and operate AWS cloud infrastructure, automation, and services for government and intelligence-community applications.

Compensation

$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Responsibilities

Design, deploy, and operate AWS infrastructure, preferably in GovCloud
Design, deploy, and operate Kubernetes, Amazon EKS, and containerized workloads
Develop and maintain Terraform, CloudFormation, or comparable infrastructure-as-code solutions
Develop and maintain GitLab CI/CD pipelines, Git workflows, and automated software delivery processes
Build and operate secure AWS and Kubernetes platforms supporting government and intelligence-community applications

Requirements

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field
PhD in Computer Science or related field
Nice to have: AWS Lambda
Nice to have: EventBridge

Skills

AWS AWS GovCloud Kubernetes Amazon EKS Terraform CloudFormation GitLab CI/CD Python Go Secure CI/CD Containerized workloads Infrastructure-as-code Observability Reliability Disaster recovery Security scanning AI-enabled platform capabilities GitLab Helm Istio Fluent Bit PostgreSQL Valkey/Redis OpenSearch Grafana

Benefits

Medical
Dental
Vision
Life
Health Savings Account

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Research Engineer, QC Automation

Clera · Posted Nov 11, 2026

Singapore, Singapore
On-site
Full-time · Mid
$100K–$170K per year
2–4 years
Visa sponsorship

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Join an engineering team at an AI infrastructure company focused on reinforcement learning environments and evaluation. You will build systems that make quality control for training data scalable, helping improve the reliability of data used to train and evaluate AI agents.

Compensation

Base salary range: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Responsibilities

Automate quality control for training data generated through the platform
Build quality systems grounded in human judgment and understanding, rather than relying heavily on large language models
Define and enforce standards for training data quality
Design experiments and metrics to evaluate agent outputs
Work with data vendors to investigate quality issues, diagnose agent failure modes, and improve data generation processes

Requirements

technical degree

Skills

Python Docker Linux quality control automation

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Research Engineer, Benchmarks

Clera · Posted Nov 11, 2026

Singapore, Singapore
On-site
Full-time · Mid
$100K–$170K per year
2–4 years
Visa sponsorship

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Join a small, technical AI evaluation team building rigorous benchmarks for frontier AI agents. You will own the design and implementation of domain-specific evaluations that help research teams and customers understand how agents perform on realistic workflows.

Compensation

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Responsibilities

Design, implement, and maintain internal benchmarks for evaluating frontier agents on domain-specific tasks
Partner with subject-matter experts to translate real-world workflows into benchmark tasks and evaluation criteria
Build reliable infrastructure to run models and agents against benchmark tasks at scale
Develop metrics and analyses to assess benchmark difficulty, reliability, and failure modes
Validate whether benchmark results align with real-world evaluations and user needs

Requirements

Technical education or strong fundamentals in a technical field
Nice to have: Reinforcement learning pipelines
Nice to have: data generation
Nice to have: agent evaluation

Skills

Python Docker Linux AI benchmarks evaluation infrastructure agent environments

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Developer Relations

Clera · Posted Nov 11, 2026

San Francisco, California, United States
On-site
Full-time · Mid
$130K–$180K per year
2–8 years

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Build the connection between an AI agent platform and the developer community. You will create practical resources, showcase working agent experiences, and bring developer feedback into product decisions.

Compensation

Base salary: $130,000 to $180,000 USD annually.

Responsibilities

Build and demonstrate agents across messaging and voice platforms, then publish cookbooks, templates, and example repositories.
Write documentation, quickstarts, and tutorials that help developers get started and build successfully.
Develop integrations and collaborate with partner platforms across AI and developer tools.
Grow the developer community through Discord, GitHub, office hours, hackathons, and contests.
Represent the platform at meetups and hackathons, share work publicly, and relay community feedback to the product team.

Requirements

Nice to have: Integration experience with AI and developer-tool platforms
Nice to have: Open-source maintenance
Nice to have: Developer Relations experience

Skills

TypeScript Python AI agent projects Claude Codex Discord GitHub

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Research Engineer, Synthetic Data

Clera · Posted Nov 11, 2026

Singapore, Singapore
On-site
Full-time · Mid
$100K–$170K per year
2+ years
Visa sponsorship

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Join a small engineering team building synthetic data systems for AI agents. You will turn domain-specific workflows into scalable training tasks, helping improve how models learn and perform in real-world applications.

Compensation

Annual base salary: $100,000 to $170,000 USD.

Responsibilities

Build pipelines that convert professional and technical workflows into realistic, structured training tasks
Collaborate with subject-matter experts to develop tasks across distinct domains
Design methods for generating diverse, realistic, and learnable synthetic tasks
Create tools to mutate, validate, and improve generated tasks
Analyze agent performance to understand task effectiveness and identify failure modes

Requirements

Technical education or equivalent technical background
Nice to have: AI research

Skills

Python Linux Docker Synthetic data methods Reinforcement learning LLM post-training

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Forward Deployed Research Engineer

Clera · Posted Nov 11, 2026

Singapore, Singapore
On-site
Full-time · Mid
$100K–$170K per year
2–4 years
Visa sponsorship

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Join a small engineering team at an AI company focused on reinforcement learning environments, model evaluation, and post-training data. You will tackle urgent, ambiguous technical challenges for AI labs and data vendors, while turning repeated deployment work into reusable tools.

Compensation

Base salary: $100,000 to $170,000 USD annually.

Responsibilities

Own technical deployment requests from initial triage through resolution
Diagnose ambiguous technical problems and clarify what needs to be done
Build tools and one-off pipelines to address urgent customer and partner needs
Coordinate with research, go-to-market, and other internal teams to unblock deployments
Balance speed and quality, escalating when correctness or security requires extra care

Skills

Python Docker Linux debugging

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Founding Engineer (AI/ML)

Clera · Posted Nov 11, 2026

San Francisco, California, United States
On-site
Full-time
$130K–$170K per year
2–5 years
Visa sponsorship

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Build the intelligence layer for an AI-powered recruiting marketplace, including the recommendation, ranking, retrieval, and matching systems at the core of the product.

Compensation

Base salary is $130,000 to $170,000 annually, plus equity. Visa sponsorship is available for eligible candidates.

Responsibilities

Develop and operate recommendation, ranking, and retrieval systems.
Build LLM-powered matching features that improve candidate and role alignment.
Take features from problem definition through production, shipping at a rapid cadence.
Architect and maintain the data pipelines and services that support production models.
Partner with the founding team to translate product goals into working systems.

Skills

TypeScript Python PyTorch TensorFlow LLM ML framework recommendation system ranking algorithm production engineering data pipeline React Supabase Prisma Typesense embeddings vector search

Benefits

equity

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Vice President, Data Ingestion & Integration

Ares Management Corporation · Posted Nov 11, 2026

New York, New York, United States
On-site
Full-time · Vp
$210K–$230K per year
12+ years

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Help design, build, and scale the firm's enterprise data ecosystem, delivering highly scalable data engineering solutions that enable analytics, reporting, operational efficiency, and AI-driven capabilities across Ares' global business.

Compensation

$210,000 - $230,000

Responsibilities

Define and own the enterprise Data Ingestion & Integration strategy and multi-year roadmap
Establish standards, governance, and best practices for enterprise-wide data movement and integration
Build and lead high-performing engineering teams responsible for ingestion, integration, and data connectivity services
Drive adoption of modern, event-driven, API-first, and cloud-native integration patterns
Partner with product teams to prioritize strategic data initiatives aligned to business growth objectives

Requirements

Bachelor’s degree in Computer Science
Bachelor’s degree in Engineering
Bachelor’s degree in Information Systems
Nice to have: Financial services experience
Nice to have: Banking experience

Skills

Azure Data Factory Azure Databricks Delta Lake Unity Catalog Azure Data Lake Storage Apache Spark Python SQL Delta Live Tables (DLT)Databricks Workflows Apache Kafka Confluent Platform Azure Event Hubs Azure Service Bus Change Data Capture (CDC)Databricks Structured Streaming Azure Monitor Log Analytics Application Insights Azure Data Factory Monitoring Databricks Lakehouse Monitoring Databricks System Tables Databricks Job Monitoring Azure Workbooks Microsoft Sentinel Azure Databricks Kafka

Benefits

Comprehensive Medical/Rx
Dental and Vision plans
401(k) program with company match
Flexible Savings Accounts (FSA)
Healthcare Savings Accounts (HSA) with company contribution

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Vice President, Data Engineering & Data Products

Ares Management Corporation · Posted Nov 11, 2026

New York, New York, United States
On-site
Full-time · Vp
$210K–$230K per year
15+ years

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Responsible for leading the enterprise data engineering organization responsible for transforming raw data into trusted, consumable, and business-ready data products.

Compensation

$210,000 - $230,000

Responsibilities

Define and execute the enterprise Data Engineering and Data Products strategy
Establish engineering standards, frameworks, and best practices for data transformation and product development
Build and lead high-performing teams of data engineers, platform engineers, and data product developers
Drive the transition from project-based data delivery to product-centric data management
Partner with business and technology leaders to prioritize strategic data products and capabilities

Requirements

Bachelor’s degree in Computer Science
Bachelor’s degree in Engineering
Bachelor’s degree in Information Systems
Nice to have: financial services
Nice to have: asset management

Skills

ETL/ELT Databricks Apache Spark Delta Lake Python SQL Azure Data Lake Storage Databricks Medallion Architecture bi-temporal data models SCD patterns Databricks Lakehouse Monitoring Delta Live Tables Unity Catalog Lineage Databricks System Tables Azure Monitor Log Analytics Application Insights

Benefits

Comprehensive Medical/Rx
Dental and Vision plans
401(k) program with company match
Flexible Savings Accounts (FSA)
Healthcare Savings Accounts (HSA) with company contribution

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Associate, Data Platform Engineering

Ares Management Corporation · Posted Nov 11, 2026

New York, New York, United States
Full-time · Associate
$85K–$100K per year
6+ years

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Associate, Data Platform Engineering

Compensation

$85,000 - $100,000

Responsibilities

Develop and maintain scalable data pipelines, ETL/ELT processes, and data integrations.
Support ingestion of structured and unstructured data from internal and external sources.
Assist with building and optimizing cloud-based data solutions and enterprise data platforms.
Partner with business teams to understand reporting and analytics requirements.
Monitor data quality, performance, and reliability across data environments.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
Nice to have: Financial Services
Nice to have: Asset Management
Nice to have: Banking
Nice to have: regulated industry experience

Skills

Azure Databricks Apache Spark Delta Lake Python SQL Azure Data Factory ETL/ELT CI/CD Terraform GitHub Actions Azure DevOps Azure Monitor Log Analytics Application Insights Databricks Audit Logs Databricks Lakehouse Monitoring Databricks Job Monitoring Unity Catalog Kafka Azure Event Hubs Azure Service Bus CDC technologies Databricks Structured Streaming

Benefits

Comprehensive Medical/Rx
Dental and Vision plans
401(k) program with company match
Flexible Savings Accounts (FSA)
Healthcare Savings Accounts (HSA) with company contribution

See full job description