Skill
Model Training
Data Science, Analytics and AI/ML
The process of teaching a machine learning model to make predictions by exposing it to data and iteratively adjusting its internal parameters, typically via optimization algorithms like gradient descent. Data scientists and ML engineers prepare labeled or unlabeled datasets, select architectures, and run training jobs on GPUs or TPUs, monitoring loss curves to gauge convergence. It is the core step that transforms a generic model architecture into one capable of a specific task.
Model Training in the job market
Last checked October 28, 2026
- Open roles
- 10
- Employers
- 8
- Median pay
- —
- Disclose pay
- —
on Career App
hiring for it
not enough disclosed
of these roles
Open roles requiring Model Training (10)
Senior Researcher
AssemblyAI
Full-time · Remote · $270,000 – $310,000
Join AssemblyAI's research team to develop and improve foundational speech AI models that power billions of user experiences globally. This role suits researchers who want hands-on ownership of the full ML pipeline—from data quality and model training through production deployment—without bureaucratic friction.
Listed on AssemblyAI’s careers site · Apply there ↗
Master - SAP AI Engineering Architect (f/m/d)
SAP
Full-time · Walldorf, DE, 69190
This role leads the design and delivery of AI solutions on SAP's Business Technology Platform, serving as a technical architect who bridges customer needs with SAP's AI capabilities. It suits experienced technologists who combine deep expertise in machine learning, data engineering, and SAP platforms with the ability to mentor teams and translate cutting-edge AI techniques into production systems.
Listed on SAP’s careers site · Apply there ↗
Software Engineer - Edge AI Systems
Palantir
Full-time · Seattle, WA · $145,000 – $200,000
This role focuses on building and deploying AI models and agents optimized for resource-constrained tactical hardware in defense applications, requiring expertise in LLMs, edge computing, and systems integration. It suits engineers with experience in AI systems, hardware optimization, and a background working on specialized deployments.
Listed on Palantir’s careers site · Apply there ↗
AI Engineer
MovieMagic
Tempe, AZ
Entertainment Partners is hiring a senior AI engineer to develop and deploy machine learning models and AI systems for its entertainment technology products. This role suits someone with strong PyTorch and transformer expertise who can move models from research through production while maintaining software engineering rigor.
Listed on MovieMagic’s careers site · Apply there ↗
Member of Technical Staff - Research, Post-Training
Modal
New York, NY · $150,000 – $350,000
Modal is seeking research scientists to advance their AI infrastructure platform's post-training capabilities, focusing on reinforcement learning and large-scale model optimization. This role suits researchers with deep expertise in LLMs and multimodal models who want to bridge cutting-edge research with production systems.
Listed on Modal’s careers site · Apply there ↗
Senior Director, Developer Advocacy
Crusoe
Bellevue, WA · $280,000 – $300,000
This role is the public face of Crusoe Cloud to developers and technical decision makers, combining technical credibility with content creation and community engagement to build awareness and adoption. You'll create short-form video, define developer engagement strategy, and personally represent the company at events and across social platforms to technical audiences.
Listed on Crusoe’s careers site · Apply there ↗
Technical Program Manager, Research
Menlo Ventures Portfolio
Full-time · New York, NY · $365,000 – $435,000
This role leads technical program management across Anthropic's research organization, working across domains like compute infrastructure, model evaluation, and reinforcement learning to remove blockers and enable researchers. It suits people with ML backgrounds who excel at operating complex systems, can learn quickly across unfamiliar technical territory, and thrive in high-stakes, ambiguous environments.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Software Engineer, Backend/Applied ML (Safety & Integrity)
CharacterAI
Redwood City, CA · $150,000 – $300,000 · Remote
This role focuses on building scalable backend systems and applying machine learning to detect and prevent safety risks on an AI platform where users interact with characters. It suits engineers with deep expertise in distributed systems and ML who want to lead technical strategy on emerging AI safety challenges.
Listed on CharacterAI’s careers site · Apply there ↗
Anthropic Fellows Program, ML Systems & Reinforcement Learning
Menlo Ventures Portfolio
London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA · $3,850 / week
Anthropic seeks promising researchers and engineers for a 4-month intensive fellowship in machine learning systems or reinforcement learning, providing mentorship, compute funding, and a weekly stipend while working on empirical projects intended for public research output.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Forward Deployed Engineer - ML
Modal
Full-time · New York, NY · $180,000 – $250,000
Modal is hiring ML engineers to work directly with top AI companies, optimizing their production workloads on Modal's infrastructure platform. You'll split time between hands-on technical work—architecting inference systems, tuning model training pipelines, and GPU optimization—and building relationships with technical leaders at frontier AI labs.
Listed on Modal’s careers site · Apply there ↗
Asked for alongside Model Training
Measured from the 10 open roles that name Model Training — not from a curated list.
- Machine Learning5 roles50.0%
- Python5 roles50.0%
- Model Deployment3 roles30.0%
Roles that use Model Training
Employers hiring for Model Training
8 in total, most open roles first.
- MPMenlo Ventures Portfolio2 roles
- MModal2 roles
- AAssemblyAI1 role
- CCharacterAI1 role
- CCrusoe1 role
- MMovieMagic1 role
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.