CrawlJobs Logo

Machine Learning PhD Intern

optiver.com Logo

Optiver

Location Icon

Location:
China , Shanghai

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

As a Machine Learning Modelling Engineer, you’ll harness your understanding of AI and deep learning to generate impactful insights and drive innovative new strategies that have the potential to transform global financial markets. Your intellectual creativity won’t just be theoretical; you’ll get to turn your cutting-edge ideas into real-world solutions that contribute towards our trading success. You’ll join a team of experienced engineers, who will provide you with guidance and support throughout the program, enabling you to make an impact from the early stages of your Optiver career. By the end of the internship, you’ll have deepened your understanding of the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as Graduate Machine Learning Modelling Engineer.

Job Responsibility:

  • Leverage AI and deep learning technologies to thrive in a fast-paced, innovative environment
  • Collaborate closely with researchers and traders on new experiments, capabilities and data sources
  • Design and implement improvements to optimise researcher productivity and quality
  • Blend your own development expertise with the best open-source frameworks and tools
  • Utilise computing infrastructure to solve substantial challenges in computational and data scale
  • Drive experimental rigour through repeatable processes on assured data

Requirements:

  • PhD students who are graduating in or after 2027
  • Studying a degree in Computer Science, Mathematics, Statistics, or a related field, with a strong focus on machine learning or deep learning
  • Advanced understanding of neural networks and related machine learning technologies, with experience in implementing and training complex deep learning models
  • Proven experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc.
  • Deep understanding of the principles, theories and concepts underlying machine learning and deep learning technologies, including the design and implementation of neural networks
  • Strong programming skills in Python, familiar with data engineering tools and principles
  • Experience with GPUs and other hardware accelerators for deep learning
  • Excellent problem-solving skills, and the ability to work independently and in teams
  • Outstanding communication skills
What we offer:
  • A highly competitive remuneration package
  • Optiver-covered flights and accommodation for the duration of the internship
  • The opportunity to work alongside best-in-class professionals
  • Training, mentorship and personal development opportunities
  • Gym membership, plus weekly in-house chair massages
  • Daily breakfast, lunch and in-house barista
  • Regular social events

Additional Information:

Job Posted:
January 06, 2026

Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Machine Learning PhD Intern

Ai/ml Phd Intern

At Sigma, we’re not just adding AI—we’re building the future of how people work ...
Location
Location
United States , San Francisco
Salary
Salary:
80.00 - 90.00 USD / Hour
sigmacomputing.com Logo
Sigma Computing
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Current PhD student studying AI/ML at a U.S. accredited university
  • Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
  • Baseline understanding of building and deploying production-grade AI/ML systems
  • Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
  • Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment
Job Responsibility
Job Responsibility
  • Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more
  • Prototype and productionize AI systems that feel intuitive but do a lot under the hood
  • Tackle novel UX problems at the intersection of AI, analytics, and data apps
  • Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models
What we offer
What we offer
  • Equity
  • Generous health benefits
  • Flexible time off policy
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office
Read More
Arrow Right

PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning)

Skydio builds the world’s most advanced autonomous drones used across inspection...
Location
Location
Switzerland , Zurich
Salary
Salary:
50.00 EUR / Hour
skydio.com Logo
Skydio
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD student in Robotics, Machine Learning, Controls, or related field
  • Strong fundamentals in RL, control theory, and motion planning
  • comfort with safety/robustness concepts
  • Proficient in Python (PyTorch/JAX/Ray RLlib) and at least one of C++ or CUDA
  • Hands-on experience with robotics simulation (Isaac Lab/MuJoCo/PyBullet) and sim2real techniques
  • Experience training/deploying policies for navigation, manipulation, or locomotion on real robots or autonomous vehicles
Job Responsibility
Job Responsibility
  • Develop and deploy reinforcement learning (and adjacent policy-learning methods) that make Skydio aircraft plan, navigate, and control themselves more intelligently—safely, reliably, and efficiently—across our ecosystem: handheld apps, ground control, cloud autonomy services, and fleet workflows
  • Navigation & avoidance in the wild: Train policies that adapt online to cluttered 3D scenes (forests, bridges, urban canyons), complementing our geometric stack for robust obstacle avoidance and dynamic goal-seeking
  • RL-augmented planning: Fuse learned cost shaping / value functions with trajectory optimization for smooth, agile flight with tight safety envelopes and mission constraints
  • Sim → Real at scale: Build scalable datasets and training loops with Isaac Lab, domain randomization, residual learning, and safety filters
  • validate on real drones weekly
  • Human-in-the-loop shared control: Learn assistive policies that blend pilot intent, autonomy priors, and uncertainty-aware behaviors for intuitive control handoffs
  • Fleet & multi-agent: Explore decentralized coordination for coverage, pursuit, and collaborative mapping with minimal comms
Read More
Arrow Right

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...
Location
Location
United States , Milpitas
Salary
Salary:
117500.00 - 270000.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
  • extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
  • experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
  • strong programming skills in Python, data structures, and algorithms are required
  • experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
  • experience in Python Web Frameworks – Django, Flask - a plus but not required.
Job Responsibility
Job Responsibility
  • conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
  • developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
  • providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
  • publishing in top conferences like NeurIPS, AAAI, and ACL
  • developing patent applications
  • software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.
What we offer
What we offer
  • a competitive salary and extensive social benefits
  • diverse and dynamic work environment
  • work-life balance and support for career development
  • health and wellbeing programs
  • personal and professional development programs
  • diversity, inclusion, and belonging initiatives.
  • Fulltime
Read More
Arrow Right

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...
Location
Location
Canada
Salary
Salary:
55.00 USD / Hour
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Completed Bachelors degree in Computer Science or a related field
  • Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
  • Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Job Responsibility
Job Responsibility
  • Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
  • Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
  • Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
  • Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
  • Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
Read More
Arrow Right

Senior Machine Learning Manager

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowl...
Location
Location
United States , San Francisco
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience managing machine learning engineering teams
  • Proven track record of building and scaling machine learning models in business applications using large datasets
  • Experience with knowledge graph technologies, search algorithms, or conversational AI is a plus
  • Strong technical expertise in machine learning, data science, and system design
  • Excellent communication skills to explain complex concepts to diverse audiences
  • Agile mindset with a focus on iterative development and continuous improvement
  • A Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
Job Responsibility
Job Responsibility
  • Oversee a team of machine learning engineers, fostering a culture of innovation, collaboration, and excellence
  • Mentor and coach team members on best practices, technical skills, and career development
  • Hire, onboard, and retain top talent to build a high-performing team
  • Manage the end-to-end machine learning lifecycle, including data collection, preprocessing, model development, deployment, and monitoring
  • Research and implement novel machine learning techniques to improve the performance, scalability, and robustness of search, chat, and agent systems
  • Collaborate with product managers, data scientists, and other stakeholders to align machine learning solutions with business goals
  • Define and execute the vision and strategy for the Knowledge Graph Team
  • Influence the strategic direction of machine learning initiatives across Atlassian's products
  • Ensure timely delivery of high-quality solutions that meet customer needs
  • Work closely with the AI platform team, federated product teams, and other engineering teams to integrate machine learning solutions seamlessly
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources.
  • Fulltime
Read More
Arrow Right

Machine Learning Team Lead

As a (Senior) Machine Learning Team Lead at Aignostics’, you lead a team of (sen...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
aignostics.com Logo
Aignostics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Passion for growing and developing team members
  • Excellent communication and team working skills
  • PhD in relevant field (e.g. Machine Learning, Computer Science, or Bioinformatics) or comparable scientific industry experience
  • At least 5+ years of professional experience, with at least 2+ years of leadership experience in a research or development context
  • Eagerness to lead initiatives, learn new technologies, and excel in a complex space
  • Solid theoretical foundations and deep understanding of machine learning
  • Understanding of software development, cloud computing and machine learning software stacks
  • Highest standard for quality assurance, ensuring scientific and operational excellence
  • Value flat rather than steep hierarchies in a thriving environment of like-minded people
Job Responsibility
Job Responsibility
  • Lead a team of (senior) machine learning research scientists
  • Coordinate interdisciplinary stakeholders, align and facilitate collaboration with other teams
  • Orchestrate the team internally, enabling team members to innovate, deliver, and grow
  • Provide guidance, reviews, and share knowledge to empower the team
  • Translate company objectives into team goals and milestones
  • Report progress to diverse stakeholders
  • Take ownership of your team and its output, shaping its spirit and contributing to Aignostics culture
  • Promote the growth and development of your individual team members
  • Take responsibility for the motivation and happiness of your team members and provide psychological safety
  • Coach your team through difficult problems, facilitating team members to find solutions, learn, and grow
What we offer
What we offer
  • Competitive remuneration package in addition to perks and benefits
  • Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
  • Language classes and internal development programs
  • Mentoring program
  • Flexible working hours and teleworking policy
  • 30 paid vacation days per year
  • Family & pet friendly and support flexible parental leave options
  • Subsidized membership of your choice among public transport, sports, and well-being
  • Social gatherings, lunches, and off-site events for a fun and inclusive work environment
  • Optional company pension scheme
Read More
Arrow Right

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...
Location
Location
United States , Seattle
Salary
Salary:
49.00 - 75.00 USD / Hour
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Completed Bachelors degree in Computer Science or a related field
  • Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
  • Degree completion date cannot be earlier than September 2026 - June 2027
  • Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
  • Exhibit a solid grasp of algorithms and data structures
  • Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
  • Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
  • Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
  • Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
  • Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects
Job Responsibility
Job Responsibility
  • Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
  • Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
  • Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
  • Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
  • Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
Read More
Arrow Right

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer in the Central AI team, you will build and...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
  • 3+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
  • Use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges
  • Design system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers
  • Lead other engineers to drive involved projects from technical design to launch
  • Collaborate with other teams and internal customers to set expectations, gather input and communicate results
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
  • Fulltime
Read More
Arrow Right