Top 26 Docker QLoRA Model Tuning Research Jobs

Sr. Machine Learning Engineer
Canoe Intelligence —New York, NY
- $180,000 - $220,000 a year
- Remote
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Staff Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI
Eightfold.AI —Santa Clara, CA
- $232,000 - $310,000 a year
- Hybrid work
- Computer science
- Computer Science
- Data analysis skills
- Health insurance
- Dental insurance
Sr. Machine Learning Ops Engineer
CIM Group, LP —Los Angeles, CA
- $175,000 - $225,000 a year
- Full-time
- 7 years
- Azure
- Computer Science
- Wellness program
- Paid parental leave
Quick Apply
Machine Learning Scientist II - Multimodal AI
Wayfair —Boston, MA
- $176,000 - $192,500 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Machine Learning Software Engineer II
Cambium Learning Group —Remote
- Full-time
- Data analysis skills
- System design
- Java
ML Ops Engineer — Agentic AI Lab (Founding Team)
Fabrion —San Francisco Bay Area, CA
- Full-time
- DevOps
- HIPAA
- Mid-level
Lead Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI
Eightfold.AI —Santa Clara, CA
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Autonomous Driving Multimodal Model Algorithm Engineer
Black Sesame Technologies Inc —San Jose, CA
- $130,000 - $400,000 a year
- Full-time
- Computer Science
- C++
- Doctor of Philosophy
- Health savings account
- Health insurance
Quick Apply
13d
Associate Principal/Forensic AI Engineer (Forensic Services practice)
Charles River Associates —Boston, MA
- $140,000 - $170,000 a year
- Computer Science
- System design
- Office
- Commuter assistance
- Paid parental leave
Senior AI Engineer
Crowe —Miami, FL
- $74,100 - $147,800 a year
- Full-time
- Computer Science
- Sales
- Research
Quick Apply
1d
Senior AI Developer
Gene by Gene —Houston, TX
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
Quick Apply
2d
Lead Software Engineer IV
Pacific Northwest National Laboratory —Richland, WA
- $161,300 - $255,000 a year
- Full-time
- 18 years or older
- Bachelor of Science
- Pass drug screening
- Health savings account
- Paid holidays

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Sr. Machine Learning Engineer
Canoe Intelligence —New York, NY
Bachelor’s degree in computer science or related field. Master Degree or PhD in computer science or related field.
$180,000 - $220,000 a year
AI Modeling Specialist
Lenovo —Morrisville, NC
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual…

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Sr. Machine Learning Engineer

Canoe Intelligence -
New York, NY

Apply Now

Job Details

$180,000 - $220,000 a year

Benefits

Work from home stipend
Health insurance
Dental insurance
401(k)
Paid time off
Work from home
Parental leave
Employee assistance program
Vision insurance
Gym membership

Qualifications

AI models
Software engineering
Continuous Delivery (CD) implementation
Software deployment
Machine intelligence
Docker
Bachelor's degree
Model deployment
Agile
DevOps automation
Machine learning libraries
Machine learning frameworks
Developer tools
Prototypes
Cross-functional communication

Full Job Description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Sr. Machine Learning Engineer

LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom

SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo)

The Role:

We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data.

What You’ll Do:

Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval.
Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability.
Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models.
Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities.
Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning.
Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions.
Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack.
Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team.

What We’re Looking For:

Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs.
Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch).
Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking).
Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions.
Problem-solver with a product mindset and bias toward outcomes.
Excellent communication skills; able to partner across engineering, product, and business teams.
Comfortable in fast-paced, agile startup environments.
Bachelor’s degree in computer science or related field.

Preferred

Master Degree or PhD in computer science or related field
Experience in training and deploying large language models.
Familiarity with cloud computing platforms and distributed computing.
Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc.
Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth).

What You’ll Get:

Medical, dental, vision benefits
Flexible PTO
401(k)
Flexible work from home policy
Home office stipend
Employee Assistance Program
Gym/Wifi reimbursement
Education assistance
Parental Leave

Our Values:

Client First —> Listen, and deliver client-centric solutions
Be An Owner —> Take initiative, improve situations, drive positive outcomes
Excellence —> Always set the highest standard for yourself and others
Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Apply Now

Refine Your Search

Docker QLoRA Model Tuning Research jobs

Sr. Machine Learning Engineer

Staff Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

Sr. Machine Learning Ops Engineer

Machine Learning Scientist II - Multimodal AI

Machine Learning Software Engineer II

ML Ops Engineer — Agentic AI Lab (Founding Team)

Lead Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

Autonomous Driving Multimodal Model Algorithm Engineer

Associate Principal/Forensic AI Engineer (Forensic Services practice)

Senior AI Engineer

Senior AI Developer

Lead Software Engineer IV

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