Machine Learning Engineering Intern Jobs

New

Senior machine learning engineer

Location

Japan , Tokyo

Salary:

10000000.00 - 16000000.00 JPY / Year

Randstad

Expiration Date

October 11, 2027

Requirements

Empathy with mission, vision and values
6+ years' experience working as a software/machine learning engineer
5+ years' experience as a Machine Learning Engineer
4+ years' experience as a Deep Learning engineer
Experience in developing GNN or generative models or Geometric Deep Learning
At least 2 publications as first author in international conferences/ journals

Job Responsibility

Appropriate design of evaluation methods based on task-specific understanding of metric properties
Hypothesis proposal, development implementation and performance validation of machine learning models for compound information
Proposal and creation of features according to data and purpose
MLOps, implementation of distributed computing environments
Training machine learning models, exploring and adding data to be used for inference
Search for relevant papers, application and validation of concepts

What we offer

休憩室
更衣室
健康保険
厚生年金保険
雇用保険
賞与

Fulltime

New

Crypto Data Scientist / Machine Learning - LLM Engineer Intern

Token Metrics is searching for a highly capable machine learning engineer to opt...

Location

United States , Houston

Salary:

Not provided

Token Metrics

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, data science, mathematics, or a related field
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous
At least two years' experience as a machine learning engineer
Advanced proficiency with Python, Java, and R code
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
LLM fine-tuning experience and working with LLM Observability
In-depth knowledge of mathematics, statistics, and algorithms
Superb analytical and problem-solving abilities
Great communication and collaboration skills
Excellent time management and organizational abilities

Job Responsibility

Consulting with the manager to determine and refine machine learning objectives
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models
Transforming data science prototypes and applying appropriate ML algorithms and tools
Ensuring that algorithms generate accurate user recommendations
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
Developing ML algorithms to analyze huge volumes of historical data to make predictions
Stress testing, performing statistical analysis, and interpreting test results for all market conditions
Documenting machine learning processes
Keeping abreast of developments in machine learning

New

Senior Machine Learning Engineer - Finance Management

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

174000.00 - 260400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of experience in applied analytics, decision science, or risk modeling, ideally within credit, lending, or payments
Strong ability to analyze and interpret large-scale financial datasets (transactions, balances, repayment behaviors) to generate insights
Proficiency in SQL, Python, and data visualization/analysis tool
Experience in model performance evaluation, monitoring, and feature development for credit or risk models
Ability to partner with customers and internal stakeholders to translate data insights into repayment strategies and product improvements
A track record of owning projects end-to-end and driving measurable business or customer impact
Familiarity with financial services, fintech, or EWA/payroll products is a strong plus
Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field

Job Responsibility

Shape Plaid’s first zero-to-one repayment risk framework for earned wage access, setting a new industry standard
Empower millions of workers with safer, more accessible EWA products by helping partners manage repayment risk responsibly
Dive deep into Plaid’s unique transaction and balance data to uncover new repayment risk signals
Partner closely with customers to conduct retros and design repayment strategies, demonstrating real-world impact
Experiment with new modeling approaches and features tailored for short-term liquidity and repayment behavior
Build dashboards and monitoring frameworks that bring transparency to repayment risk and model performance
Collaborate across product, engineering, and data teams to scale Plaid’s EWA risk solutions and improve product-market fit
Join a high-ownership, bottom-up driven team building the leading EWA score to surpass competitors in the space

Fulltime

New

Senior Machine Learning Engineer - Finance Management

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

174000.00 - 260400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of experience in applied analytics, decision science, or risk modeling, ideally within credit, lending, or payments
Strong ability to analyze and interpret large-scale financial datasets (transactions, balances, repayment behaviors) to generate insights
Proficiency in SQL, Python, and data visualization/analysis tool
Experience in model performance evaluation, monitoring, and feature development for credit or risk models
Ability to partner with customers and internal stakeholders to translate data insights into repayment strategies and product improvements
A track record of owning projects end-to-end and driving measurable business or customer impact
Familiarity with financial services, fintech, or EWA/payroll products is a strong plus
Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field

Job Responsibility

Shape Plaid’s first zero-to-one repayment risk framework for earned wage access, setting a new industry standard
Empower millions of workers with safer, more accessible EWA products by helping partners manage repayment risk responsibly
Dive deep into Plaid’s unique transaction and balance data to uncover new repayment risk signals
Partner closely with customers to conduct retros and design repayment strategies, demonstrating real-world impact
Experiment with new modeling approaches and features tailored for short-term liquidity and repayment behavior
Build dashboards and monitoring frameworks that bring transparency to repayment risk and model performance
Collaborate across product, engineering, and data teams to scale Plaid’s EWA risk solutions and improve product-market fit
Join a high-ownership, bottom-up driven team building the leading EWA score to surpass competitors in the space

Fulltime

New

Machine Learning Intern

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise ...

Location

United States , New York, New York; Cambridge, Massachusetts

Salary:

Not provided

Kensho Technologies

Expiration Date

Until further notice

Requirements

Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine Learning
Experience in designing and iterating on agentic systems, understanding user interactions, and evaluating agent performance to enhance user experiences
Experience with advanced machine learning methods
Statistical knowledge, intuition, and experience modeling real data
Expertise in Python and Python-based ML frameworks (e.g.,LangGraph, Pydantic AI, PyTorch)
Demonstrated effective coding, documentation, and communication habits
Strong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience

Job Responsibility

Apply advanced NLP techniques to extract insights from large proprietary unstructured and structured datasets
Design, build, and maintain scalable production-ready ML systems
Participate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in production
Partner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementation
Work in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional products

What we offer

Opportunity to attend technical and non-technical discussions as well as company wide social events

Applied Machine Learning Engineer

As an Applied Machine Learning Engineer, you will serve as a vital bridge betwee...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

170000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a software engineering role, with a strong preference for customer-facing roles
Robust coding skills required, preferably with proficiency in Python
Demonstrated ability to lead and execute complex technical projects with a focus on customer success
Strong interpersonal and communication skills
ability to thrive in dynamic, cross-functional teams

Job Responsibility

Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions
Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology
Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues
New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments
Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications
Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration

What we offer

meaningful equity in a fast-growing startup
competitive salary
comprehensive benefits package

Fulltime

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...

Location

Serbia; Romania , Belgrade; Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and collaboration skills
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Hands-on experience with Kubernetes, Docker, and cloud services
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
Experience with ML frameworks (e.g., TensorFlow, PyTorch)

Job Responsibility

Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
Build out documentation in relation to architecture, policies and operations runbooks
Share skills, knowledge, and expertise with members of the data engineering team
Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience

Fulltime

Machine Learning Intern

This is an internship opportunity at Hewlett Packard Enterprise, designed as an ...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Enrolled in University
Able to commence in January 2026
Able to commit minimum 5 months
Knowledge about Machine Learning, Deep Leaning and Gen AI

Job Responsibility

Design, develop, and implement machine learning models and algorithms to solve complex business problems
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products
Preprocess and analyze large datasets to extract meaningful insights and prepare data for modelling
Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency
Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases
Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments
Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies
Write clear, maintainable code and create comprehensive documentation for ML models and processes
Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings
Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs to help achieve career goals
Inclusive work environment valuing individuality and diverse backgrounds

Fulltime

Machine Learning Engineering Intern

Cresta

Location:
Canada, Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 07, 2025

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