Intern, Machine Learning Engineering Job at Portico

Machine Learning Engineer

Atlassian’s Grad++ program combines hands-on technical training, professional gr...

Location

United States , San Francisco or Seattle

Salary:

118000.00 - 189600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience)
Experience writing software with minimal bugs in Python, Scala, or Spark
SQL experience a bonus
Experience building machine learning models in academic coursework or related industry intern experience
Currently enrolled in a full-time masters degree program and graduating by June 2026

Job Responsibility

Focus on Machine Learning applications and ideas for recommendation and personalization
Build machine learning models and work on Generative AI projects
Translate business problems into technical solutions

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Machine Learning Engineer

At Atlassian, our machine learning teams tackle business and product challenges ...

Location

Canada , Vancouver; Burnaby; Richmond

Salary:

101700.00 - 132775.00 CAD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Currently enrolled full time in a Masters Degree program in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research) and are graduating by June 2026
Experience writing software with minimal bugs in Python, Scala, or Spark
SQL experience a bonus
Experience building machine learning models in academic coursework or related industry intern experience

Job Responsibility

Focus on Machine Learning applications and ideas for recommendation and personalization
Build machine learning models and work on Generative AI projects
Translate business problems into technical solutions

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

AI Machine Learning Principal Engineer

Our Regulatory Engineering team thrives on the challenge of operating in a compl...

Location

Singapore , Singapore

Salary:

Not provided

Dell

Expiration Date

March 31, 2026

Requirements

Requires 8+ years of related experience in a professional role with a Bachelor’s degree
or 6+ years with a Master’s degree
or 3+ years with a PhD
or equivalent experience
Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus
Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes

Job Responsibility

Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models
Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design
Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest
Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Manager, Machine Learning - Community Support Engineering

The Community Support Platform (CSP) at Airbnb is a critical system that drives ...

Location

United States

Salary:

204000.00 - 255000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

Expertise in various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products
Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences
Strong leadership skills with a track record of nurturing an innovative and collaborative team environment
Exceptional verbal and written communication abilities, with a keen eye for detail
Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally
Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches
PhD, or Master's degree in Computer Science, Mathematics, Statistics, or related technical field
10+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs
5+ years managing machine learning teams that deliver large impact
Expert knowledge of machine learning algorithms and techniques

Job Responsibility

Lead and mentor a dynamic team of highly skilled applied scientists and machine learning engineers in the research, design and optimization of AI models and services
Develop and refine the overarching strategy for the ML and AI aspects of our community support products, focusing on scalability, quality, safety, performance, and reliability
Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives
Evaluate technical trade-offs in key decisions, ensuring optimal outcomes through data-backed strategies
Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

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

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

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

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

Intern, Machine Learning Engineering

Portico

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 09, 2026

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Portico

Location:United States

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 09, 2026

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