AI Engineer, Curator Job at Her (New York)

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Applied AI Engineer

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...

Location

United States , Washington, D.C.

Salary:

160000.00 - 250000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals
Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
Outstanding presentation skills to technical and executive audiences
Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
Candidates must have an active TS/SCI

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows
Forge and manage relationships with our customers’ leadership and stakeholders
Collaborate closely with pre-sales Solutions and Product teams
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops
Work on all aspects of complex National Security problems

What we offer

Equity in the form of employee stock options

Fulltime

Senior Machine Learning Systems Engineer

Our organization drives AI innovation across Jira products. We deliver seamless ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience building Machine Learning and AI solutions (4+ years)
Proven experience developing, deploying, and maintaining end-to-end ML systems, including data engineering, model serving, and monitoring
Expert proficiency with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems
Expert proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
Experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models

Job Responsibility

Collaborate with software engineers, data scientists, and product managers to solve complex problems
Lead projects from technical design through launch
Partner with teams to achieve impactful results
Deliver robust ML solutions to build AI features reaching millions
This includes curating ML datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs
Mentor junior members of the team

What we offer

Health and wellbeing resources
Paid volunteer days

Machine Learning Systems Engineer

As a Machine Learning Systems Engineer on the AI & ML Platform team, you will bu...

Location

United States

Salary:

145800.00 - 229125.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin)
Understanding and experience with Machine Learning project lifecycle and tools
Understanding of LLMs, best deployment practices and inference optimisation
Experience in building and implementing high-performance RESTful micro-services
Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking)
Experience with Continuous Delivery and Continuous Integration

Job Responsibility

Build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
Build systems for product teams like Jira & Confluence to provide access to curated LLMs
Use software development expertise to solve difficult problems, tackling infrastructure and architecture challenges
Lead engineers to drive involved projects from technical design to launch
Collaborate with other teams and internal customers to set expectations, gather input and communicate results
Regularly tackle complex problems in the team, from technical design to launch
Routinely tackle complex architecture challenges and defines coding standards & patterns for the team
Lead the team through times of ambiguity, help them adapt and deliver positive impact
Mentor junior members on the team

What we offer

Health coverage
Paid volunteer days
Wellness resources
Bonuses
Commissions
Equity

Fulltime

Senior Software Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering
Master’s degree and 3 or more years in applied ML or AI research and product engineering
PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms
Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow
Experience deploying Fine Tuned LLMs or multimodal models in live production environments
Experience shipping and maintaining production AI systems
Ability to meet Microsoft, customer, and government security screening requirements
Microsoft Cloud Background Check upon hire or transfer and every two years thereafter

Job Responsibility

Bringing State-of-the-Art Research to Products
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
End-to-End System Development
ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

Fulltime

New

Senior AI Engineer

The Senior AI Engineer at NTT DATA will develop and enhance AI applications, col...

Location

Vietnam , Ho Chi Minh

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related fields
Minimum 3 years of experience in Data Science and Machine Learning
Minimum 1 year of experience in developing applications with GenAI/LLM
In-depth knowledge of machine learning, deep learning, and generative AI techniques
Proficiency in programming languages such as Python, and frameworks like TensorFlow or PyTorch
Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models
Familiar with computer vision techniques for image recognition, object detection, or image generation
Experience with cloud platforms such as Azure or AWS
Expertise in data engineering, including data curation, cleaning, and preprocessing
Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems

Job Responsibility

Collaborate with cross-functional teams to integrate AI solutions into products and services
Conduct research to advance the state-of-the-art in AI, particularly in the areas of natural language/image processing and generation
Optimize and fine-tune models for performance, scalability, and efficiency
Stay up-to-date with the latest advancements in AI and machine learning, and apply them to solve complex problems
Develop and maintain documentation for AI models and systems
Well driving innovation and staying updated with the latest AI research and advancements
Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models

Fulltime

Data & AI Engineer

We are looking for a Data & AI Engineer, to design modern data platforms and con...

Location

United States , Cambridge

Salary:

58.00 - 79.00 USD / Hour

Amaris Consulting

Expiration Date

Until further notice

Requirements

4+ years of experience in data engineering or cloud data platforms
Strong hands-on experience with Amazon S3 and Amazon Athena
Excellent SQL skills for analytical querying and optimization
Solid experience with AWS services: Glue, Lambda, IAM, CloudWatch
Experience provisioning cloud infrastructure and setting up CI/CD pipelines (GitHub Actions)
Strong knowledge of data formats (Parquet, ORC, JSON, CSV)
Programming experience in Python, PySpark, or similar
Experience designing and operating data lakes or analytics platforms
Good understanding of data lifecycle management
Familiarity with BI tools and analytics consumption patterns

Job Responsibility

Design and implement scalable data lake architectures using Amazon S3
Build and optimize serverless analytics solutions with Amazon Athena
Define efficient data models, partitioning strategies, and metadata management
Develop robust ETL / ELT pipelines using AWS Glue, Lambda, and Step Functions
Ingest structured and semi-structured data from internal systems, APIs, and external sources
Ensure data quality, validation, and schema evolution across pipelines
Implement data governance with AWS Lake Formation and IAM
Manage encryption, access control, and auditability for sensitive datasets
Monitor and optimize performance and cloud costs using CloudWatch and AWS cost tools
Enable self-service data access for analytics, BI, and data science teams

What we offer

An international community bringing together more than 110 different nationalities
An environment where trust is central: 70% of our leaders started their careers at the entry level
A strong training system with our internal Academy and more than 250 modules available
A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)

Fulltime

New

Senior Software Engineer, AI Evals

As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be responsible for ...

Location

United States , San Francisco

Salary:

240000.00 - 280000.00 USD / Year

Sentry

Expiration Date

Until further notice

Requirements

Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learning, or a related field
Experience building testing, evaluation, or data infrastructure for complex systems (AI/ML experience strongly preferred)
Comfort writing production-quality code (we use Python and TypeScript)
Experience working with structured and unstructured datasets, labeling workflows, or data quality pipelines
Familiarity with modern ML systems and evaluation techniques (e.g., offline metrics, online evaluation, regression testing for models or prompts)

Job Responsibility

Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems
Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data
Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows
Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria
Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring

What we offer

Offers Equity
incentive compensation
equity grants
paid time off
group health insurance coverage

Fulltime

AI Engineer, Curator

Her

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 23, 2026

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