Notifications

Are you open to new opportunities?

Upload your resume to increase your chances of getting noticed.

Katalyst Healthcares & Life Sciences
3.1
AI Engineer Clinical Data Science
Manhattan
$97K - $166K (Glassdoor est.)
Easy Apply
You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-……
30d+
machine learning engineer jobs in Manhattan Manhattan jobs Katalyst Healthcares & Life Sciences jobs in Manhattan
Katalyst Healthcares & Life Sciences salaries machine learning engineer salaries in Manhattan
Employee reviews at Katalyst Healthcares & Life Sciences Katalyst Healthcares & Life Sciences interview experience Working at Katalyst Healthcares & Life Sciences
Optimal CAE
3.6
Machine Learning Research Engineer (Scientific & Engineering AI)
Warren, MI
$81K - $139K (Glassdoor est.)
Easy Apply
Ideal candidates will combine strong ML/DL expertise with domain knowledge in mechanical engineering, materials science, manufacturing systems, physical systems……
3d
machine learning engineer jobs in Warren, MI Warren, MI jobs Optimal CAE jobs in Warren, MI
Optimal CAE salaries machine learning engineer salaries in Warren, MI
Employee reviews at Optimal CAE Optimal CAE interview experience Working at Optimal CAE
Centennial Technologies
3.7
AI Engineer – Entry Level
Vienna, VA
$45K - $71K (Glassdoor est.)
Easy Apply
Bachelor’s degree in computer science, Data Science, AI/ML, or related technical field (Master’s preferred). 0-2 years of experience in AI or related field.…
30d+
machine learning engineer jobs in Vienna, VA Vienna, VA jobs Centennial Technologies jobs in Vienna, VA
Centennial Technologies salaries machine learning engineer salaries in Vienna, VA
Employee reviews at Centennial Technologies Centennial Technologies interview experience Working at Centennial Technologies
Remofirst
4.0
AI Engineer
Arizona
Easy Apply
Build tools & frameworks augmenting the capabilities of LLM/VLMs. Knowledge and familiarity with the tools in AI ecosystem (ML frameworks, HuggingFace, MLOps,……
4d
machine learning engineer jobs in Arizona Arizona jobs Remofirst jobs in Arizona
Remofirst salaries
Employee reviews at Remofirst Remofirst interview experience Working at Remofirst
Velir Studios
3.0
Senior AI/ML Engineer
Chicago, IL
$175K - $190K (Employer provided)
Easy Apply
Translate complex ML concepts into clear recommendations for technical and non-technical audiences. Strong communication skills with both technical and non-……
6d
machine learning engineer jobs in Chicago, IL Chicago, IL jobs Velir Studios jobs in Chicago, IL
Velir Studios salaries machine learning engineer salaries in Chicago, IL
Employee reviews at Velir Studios Velir Studios interview experience Working at Velir Studios
CoVar
4.5
Signal Processing Engineer
Durham, NC
$89K - $131K (Glassdoor est.)
Easy Apply
Ability to work with cross-functional engineering teams and clearly communicate complex technical concepts. Performance Evaluation: Conduct laboratory and field……
30d+
Advanced Global Resources (AGR)
4.7
Geotechnical Research Engineer - Level 2
McLean, VA
$85K - $100K (Employer provided)
Easy Apply
Apply machine learning, AI tools, and advanced data analytics to interpret complex laboratory and field datasets. Data Science, Analysis & Numerical Modelling*.…
2d
Vector Solutions
3.3
Space Intelligence Mission Team (Multiple Openings)
Wright Patterson AFB, OH
Easy Apply
You bring:* a Bachelor's degree and 5 or more years in an operations, engineering, scientific, data science, software programming, artificial intelligence,……
2d
Amtelco
3.9
Senior Artificial Intelligence (AI) Developer
McFarland, WI
$68K - $114K (Glassdoor est.)
Easy Apply
Bachelor’s degree _preferred_, Associate degree _required _– educational focus in computer science, artificial intelligence, or a related technical field.…
30d+
Avride
3.5
Machine Learning Engineer
Austin, TX
Easy Apply
We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as……
30d+
Dynamic Software Solutions
4.2
Software Engineer - Defense R&D
Panama City, FL
$80K - $110K (Employer provided)
Easy Apply
Have a sUAS pilot license (Part 107) and Technical proficiency with drone flight software and hardware. Graduate of an accredited university with at least a……
30d+
Crowe LLP
3.7
Senior AI Engineer
Atlanta, GA
$74K - $148K (Employer provided)
Easy Apply
The Senior Staff engineer drives technical decision-making, performs in-depth system analysis, and resolves complex engineering challenges across data, model,……
12d
Crowe LLP
3.7
Senior AI Engineer
South Bend, IN
$74K - $148K (Employer provided)
Easy Apply
The Senior Staff engineer drives technical decision-making, performs in-depth system analysis, and resolves complex engineering challenges across data, model,……
12d
Park Lane Recruitment
5.0
Applied ML Systems Engineer - Finance - NEW YORK - UNITED STATES
United States
$250K - $350K (Employer provided)
Easy Apply
You'll own the design of training infrastructure - figuring out how to let researchers run more experiments faster, without blowing up compute costs or……
30d+
CACI International
3.7
Staff AI/ML Engineer
United States
$99K - $207K (Employer provided)
Best Places to Work
M.S. or PhD in relevant technical field. B.S. in machine learning, computer science, mathematics, or related field. Minimum Clearance Required to Start: TS/SCI.…
30d+
Analogic
3.2
Algorithm Engineer
Salem, NH
$78K - $115K (Glassdoor est.)
Easy Apply
Technical degree (Engineering, Physics, Computer Science) with 0-8 years combined academic and work experience in related technical field.…
30d+
DataAnnotation
4.1
Simulation Engineer - AI Trainer
Mount Vernon, NY
$40.00 - $60.00 Per Hour (Employer provided)
Easy Apply
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.…
30d+
Ledgent Technology
3.4
AI Software Engineer
Livermore, CA
$75.00 - $105.00 Per Hour (Employer provided)
Easy Apply
Bachelor's or Master's degree in Computer Science, Data Science preferred or a related technical field or equivalent experience. Ability to lift 25 lbs.…
19d
Engineering Resource Group
4.1
Computer Engineer
Princeton Junction, Mercer, NJ
$125K - $160K (Employer provided)
Easy Apply
Computer Engineer to research, design, develop, test and evaluate Radio Frequency systems firmware and software applications including spectrum monitoring,……
30d+
Everforth CyberCoders
4.0
Senior AI/ML Engineer
Pittsburgh, PA
$74K - $126K (Glassdoor est.)
Easy Apply
Deep LLM engineering fundamentals: prompt design, RAG architectures, function-calling/tool use, context management, and evaluation-driven development.…
4d
Axle Informatics
3.6
Computer Programmer
Rockville, MD
$75K - $80K (Employer provided)
Easy Apply
Must be proficient using vibe coding and coding assistants to develop scripts, tools and applications for the DevOps and SRE use cases. 401K match up to 5%.…
30d+
Axle Informatics
3.6
IT Operations Technical Lead
Frederick, MD
$150K - $170K (Employer provided)
Easy Apply
Manage and mentor a team of systems engineers; provide technical guidance and performance oversight. Must have 10+ years of hands-on Unix/Linux experience that……
30d+
General Dynamics Information Technology
3.9
High Performance Computing (HPC) Subject Matter Expert (SME)
Indiana
$158K - $213K (Employer provided)
Best Places to Work
May vary based on technical training, certification(s), or degree. Provide in-depth technical analysis on the progress of DoW HPCMP High Priority Projects.…
30d+
System One
3.8
Principal Solution Architect - Healthcare
Reston, VA
$98.48 Per Hour (Employer provided)
Easy Apply
Ability to deliver high level design use cases demonstrating clear conceptual architecture, simple, logical explanation of data movement, rationale behind……
30d+
Leoforce
4.1
Director, Enterprise AI & Databricks Platforms (GenAI / Microsoft AI)
Coppell, TX
$180K - $250K (Employer provided)
Easy Apply
#operations #mlflow #power-automate #microsoft-copilot #databricks-platform #enterprise-ai-ml-architecture #generative-ai-and-llm-implementation #intelligent-……
25d
Mercor (Poland)
ML Evaluation Designer - Expert - AI Trainer
Austin, TX
$45.00 - $140.00 Per Hour (Employer provided)
Easy Apply
Apply training-side judgment in SFT, RLHF, and reward modeling to evaluation design. Mercor connects elite creative and technical talent with leading AI……
24h
Yoh
3.6
Product Owner/Manager - Homebuilding Industry
Irving, TX
$98K - $140K (Employer provided)
Easy Apply
Bachelor's degree in Business, Construction Management, Information Systems, Engineering, or a related field. The ideal candidate has a strong understanding of……
5d
HomeServe USA
3.6
Senior Product Owner, Revenue Intelligence AI
Easy Apply
Bachelor’s degree in computer science, Information Systems, Business, or related field. The employee frequently is required to use hands or fingers, handle or……
30d+
CACI International
3.7
Staff AI/ML Engineering Manager
United States
$99K - $207K (Employer provided)
Best Places to Work
Bachelor’s degree in computer science, data science, mathematics, engineering, or a related field. ML System Design & Architecture: Contribute to technical……
30d+
Amazon Web Services
3.6
Software Engineer I - AI/ML, AWS Neuron Distributed Training
Cupertino, CA
$127K - $185K (Employer provided)
Bachelor's degree or above in computer science, computer engineering, or related field, or Bachelor's degree. Los Angeles County applicants: Job duties for this……
11d
machine learning engineer jobs in Cupertino, CA Cupertino, CA jobs Amazon Web Services jobs in Cupertino, CA
Amazon Web Services salaries machine learning engineer salaries in Cupertino, CA
Employee reviews at Amazon Web Services Amazon Web Services interview experience Working at Amazon Web Services

Katalyst Healthcares & Life Sciences

3.1

AI Engineer Clinical Data Science

Manhattan

$97K - $166K (Glassdoor est.)

Is your resume a good match?

Use AI to find out how well the skills on your resume fit this job description.

Job Description:

We are looking for an AI Engineer to join our Data Science team, building AI-powered solutions for clinical data processing and analysis within a major pharmaceutical organization. You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-driven decision making.
This is a hands-on engineering role you'll be writing production code, not just building prototypes.

Responsibilities:

Generative AI & Automation.
Develop LLM-powered automation tools for clinical reporting and document generation workflows.
Build AI-driven code generation pipelines and quality assessment frameworks.
Design and implement human-in-the-loop review workflows with feedback loops to continuously improve output quality.

Research & Evaluation:

Research and evaluate emerging AI methods, frameworks, and techniques for specific tasks e.g. comparing fine-tuning vs zero-shot approaches, assessing new document extraction tools, or trialling new agentic frameworks.
Prototype and benchmark new approaches before recommending adoption.
Stay current with a rapidly evolving field and bring new ideas to the team.

Agentic AI & Orchestration:

Design and build multi-agent systems for data workflows agents that retrieve, generate, validate, and iterate autonomously.
Implement agent orchestration using frameworks such as Google ADK, Lang Graph, or Lang Chain.
Deploy and manage agents on Google Vertex AI.

Document Understanding & RAG:

Build document processing pipelines (PDFs, Word/DOCX) extraction, parsing, table detection, structure recognition.
Design and build RAG pipelines grounded in source documents.
Process, extract and transform data from unstructured and semi-structured sources.
Code Quality & Engineering Practices:
Write clean, well-tested, maintainable Python code following SOLID principles and recognised design patterns.
Apply single responsibility, dependency inversion, and interface segregation in real codebases not just theory.
Write meaningful tests and maintain high standards across the team.
Refactor and improve existing code as part of normal development workflow.

AI-Assisted Development:

Use AI coding tools (e.g. Gemini CLI, GitHub Copilot) as a core part of your development workflow.
Critically review and validate AI-generated code understanding what it produces, why, and when it's wrong.
Write effective prompts to direct AI tools toward correct, secure, well-structured output.
Know when to use AI and when to write code manually judgement over speed.

Platform & Infrastructure:

Integrate and orchestrate LLM providers available through Google Vertex AI (Gemini, etc.).
Build internal tools and applications using Stream lit and Fast API.
Containerize and deploy services using Docker.

Required Skills & Experience:

MSc in Data Science, Computer Science, Bioinformatics, or related field (or equivalent practical experience), Strong Python skills.
Hands-on experience building RAG systems or LLM-powered applications (using LangChain, LlamaIndex, or similar frameworks).
Experience integrating LLM APIs (Google Gemini, OpenAI, or similar) we work primarily through Google Vertex AI.
Working knowledge of vector databases (ChromaDB, Weaviate, Qdrant, Pinecone, or similar).
Cloud platform experience (GCP preferred, especially Vertex AI).
Docker and containerized deployments.
Strong software engineering fundamentals SOLID principles, clean code practices, design patterns, testing, version control (Git), code review.
Comfortable using AI-assisted development tools (e.g. Gemini CLI, GitHub Copilot) and critically evaluating what they produce.
Strongly Preferred.
Experience with agentic AI patterns multi-agent orchestration, tool use, autonomous workflows (LangGraph, Google ADK, or similar).
Document processing experience extracting and parsing data from PDFs and Word/DOCX files programmatically.
Understanding of LLM evaluation principles and output quality assessment (BLEU, ROUGE etc, code execution metrics, or similar).
Data science fundamentals Pandas, NumPy, scikit-learn, statistical analysis, data visualization.
Prompt engineering and optimisation techniques.
Streamlit application development.

Domain Knowledge:

Clinical trials or pharmaceutical industry experience.
Familiarity with clinical data standards.
Awareness of regulatory and data privacy requirements in life sciences.

Infrastructure & DevOps :

Terraforma or infrastructure-as-code expe rience.
CI/CD pipeline design (GitHub Actions or similar).

Knowledge Graphs:

Neo4j, Cypher query language.
Network for graph analytics.
Graph-based RAG or knowledge extraction.

AI/ML:

Experience with LLM-driven code generation.
LLM fine-tuning experience (e.g. LoRA, PEFT, RLHF, Vertex AI model tuning, or similar approaches).
NLP and text processing (HuggingFace Transformers, Sentence-Transformers).
PyTorch or TensorFlow (for custom model work if needed).
Google ADK (Agent Development Kit) or Vertex AI Agent Builder.
Model Context Protocol (MCP) for tool integration and interoperability.

Other:

Frontend experience (React, TypeScript).
FastAPI or Flask REST API development.
PostgreSQL or similar relational databases.

What You'll Work With:

Languages: Python (primary), SQL, some TypeScript/R.
AI/ML : Lang Chain, LlamaIndex, Lang Graph, Google ADK, MCP, Hugging Face Transformers, Sentence-Transformers, Google Gemini (via Vertex AI).
Document Processing: PyMuPDF, python-docx, pdf plumber, OCR tools.
Data: Pandas, NumPy, SciPy, scikit-learn, Plotly.
Databases: Vector databases, graph databases, relational databases.
Infrastructure: Docker, Google Cloud Platform (Vertex AI, GCS), Terraform, GitHub Actions.
Applications: stream lit, Fast API, Flask.
Tools: Python packaging, testing frameworks, linting, Git.

About You:

You care about code quality not just making things work, but making them maintainable.
You're comfortable working across the full stack of an AI application, from data ingestion to user-facing tools.
You can context-switch between multiple projects and work autonomously.
You're curious about the clinical/pharmaceutical domain and motivated to learn it.
You see AI-assisted development as a force multiplier, not a replacement for engineering judgment.
You're a self-directed learner who researches new methods and tools, evaluates them critically, and knows when to adopt vs when to stick with what works.

See company reviews

Base pay range

The minimum salary is $97K and the max salary is $166K.

$97K – $166K/yr (Glassdoor est.)

$127K

/yr Median

Manhattan

If an employer includes a salary or salary range on their job, we display it as "Employer Provided". If a job has no salary data, Glassdoor displays a "Glassdoor Estimate" if available. To learn more about "Glassdoor Estimates," see our FAQ page.

Working here doesn’t have to be a secret

3.1

Recommend to a friend
Approve of CEO
CEO: Katalyst HLS
3 Ratings

Katalyst Healthcares & Life Sciences

3.1

AI Engineer Clinical Data Science

Manhattan

$97K - $166K (Glassdoor est.)

Katalyst Healthcares & Life Sciences

3.1

AI Engineer Clinical Data Science

Manhattan

$97K - $166K (Glassdoor est.)

Is your resume a good match?

Use AI to find out how well the skills on your resume fit this job description.

Job Description:

We are looking for an AI Engineer to join our Data Science team, building AI-powered solutions for clinical data processing and analysis within a major pharmaceutical organization. You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-driven decision making.
This is a hands-on engineering role you'll be writing production code, not just building prototypes.

Responsibilities:

Generative AI & Automation.
Develop LLM-powered automation tools for clinical reporting and document generation workflows.
Build AI-driven code generation pipelines and quality assessment frameworks.
Design and implement human-in-the-loop review workflows with feedback loops to continuously improve output quality.

Research & Evaluation:

Research and evaluate emerging AI methods, frameworks, and techniques for specific tasks e.g. comparing fine-tuning vs zero-shot approaches, assessing new document extraction tools, or trialling new agentic frameworks.
Prototype and benchmark new approaches before recommending adoption.
Stay current with a rapidly evolving field and bring new ideas to the team.

Agentic AI & Orchestration:

Design and build multi-agent systems for data workflows agents that retrieve, generate, validate, and iterate autonomously.
Implement agent orchestration using frameworks such as Google ADK, Lang Graph, or Lang Chain.
Deploy and manage agents on Google Vertex AI.

Document Understanding & RAG:

Build document processing pipelines (PDFs, Word/DOCX) extraction, parsing, table detection, structure recognition.
Design and build RAG pipelines grounded in source documents.
Process, extract and transform data from unstructured and semi-structured sources.
Code Quality & Engineering Practices:
Write clean, well-tested, maintainable Python code following SOLID principles and recognised design patterns.
Apply single responsibility, dependency inversion, and interface segregation in real codebases not just theory.
Write meaningful tests and maintain high standards across the team.
Refactor and improve existing code as part of normal development workflow.

AI-Assisted Development:

Use AI coding tools (e.g. Gemini CLI, GitHub Copilot) as a core part of your development workflow.
Critically review and validate AI-generated code understanding what it produces, why, and when it's wrong.
Write effective prompts to direct AI tools toward correct, secure, well-structured output.
Know when to use AI and when to write code manually judgement over speed.

Platform & Infrastructure:

Integrate and orchestrate LLM providers available through Google Vertex AI (Gemini, etc.).
Build internal tools and applications using Stream lit and Fast API.
Containerize and deploy services using Docker.

Required Skills & Experience:

MSc in Data Science, Computer Science, Bioinformatics, or related field (or equivalent practical experience), Strong Python skills.
Hands-on experience building RAG systems or LLM-powered applications (using LangChain, LlamaIndex, or similar frameworks).
Experience integrating LLM APIs (Google Gemini, OpenAI, or similar) we work primarily through Google Vertex AI.
Working knowledge of vector databases (ChromaDB, Weaviate, Qdrant, Pinecone, or similar).
Cloud platform experience (GCP preferred, especially Vertex AI).
Docker and containerized deployments.
Strong software engineering fundamentals SOLID principles, clean code practices, design patterns, testing, version control (Git), code review.
Comfortable using AI-assisted development tools (e.g. Gemini CLI, GitHub Copilot) and critically evaluating what they produce.
Strongly Preferred.
Experience with agentic AI patterns multi-agent orchestration, tool use, autonomous workflows (LangGraph, Google ADK, or similar).
Document processing experience extracting and parsing data from PDFs and Word/DOCX files programmatically.
Understanding of LLM evaluation principles and output quality assessment (BLEU, ROUGE etc, code execution metrics, or similar).
Data science fundamentals Pandas, NumPy, scikit-learn, statistical analysis, data visualization.
Prompt engineering and optimisation techniques.
Streamlit application development.

Domain Knowledge:

Clinical trials or pharmaceutical industry experience.
Familiarity with clinical data standards.
Awareness of regulatory and data privacy requirements in life sciences.

Infrastructure & DevOps :

Terraforma or infrastructure-as-code expe rience.
CI/CD pipeline design (GitHub Actions or similar).

Knowledge Graphs:

Neo4j, Cypher query language.
Network for graph analytics.
Graph-based RAG or knowledge extraction.

AI/ML:

Experience with LLM-driven code generation.
LLM fine-tuning experience (e.g. LoRA, PEFT, RLHF, Vertex AI model tuning, or similar approaches).
NLP and text processing (HuggingFace Transformers, Sentence-Transformers).
PyTorch or TensorFlow (for custom model work if needed).
Google ADK (Agent Development Kit) or Vertex AI Agent Builder.
Model Context Protocol (MCP) for tool integration and interoperability.

Other:

Frontend experience (React, TypeScript).
FastAPI or Flask REST API development.
PostgreSQL or similar relational databases.

What You'll Work With:

Languages: Python (primary), SQL, some TypeScript/R.
AI/ML : Lang Chain, LlamaIndex, Lang Graph, Google ADK, MCP, Hugging Face Transformers, Sentence-Transformers, Google Gemini (via Vertex AI).
Document Processing: PyMuPDF, python-docx, pdf plumber, OCR tools.
Data: Pandas, NumPy, SciPy, scikit-learn, Plotly.
Databases: Vector databases, graph databases, relational databases.
Infrastructure: Docker, Google Cloud Platform (Vertex AI, GCS), Terraform, GitHub Actions.
Applications: stream lit, Fast API, Flask.
Tools: Python packaging, testing frameworks, linting, Git.

About You:

You care about code quality not just making things work, but making them maintainable.
You're comfortable working across the full stack of an AI application, from data ingestion to user-facing tools.
You can context-switch between multiple projects and work autonomously.
You're curious about the clinical/pharmaceutical domain and motivated to learn it.
You see AI-assisted development as a force multiplier, not a replacement for engineering judgment.
You're a self-directed learner who researches new methods and tools, evaluates them critically, and knows when to adopt vs when to stick with what works.

See company reviews

Base pay range

The minimum salary is $97K and the max salary is $166K.

$97K – $166K/yr (Glassdoor est.)

$127K

/yr Median

Manhattan

Working here doesn’t have to be a secret

3.1

Recommend to a friend
Approve of CEO
CEO: Katalyst HLS
3 Ratings

Are you open to new opportunities?

6,346 AI/ML Research Engineer jobs in United States

Base pay range

Working here doesn’t have to be a secret

Base pay range

Working here doesn’t have to be a secret