$141 - $282/hr
In this role, you will be responsible for creating the algorithms that enable smooth, safe, and ... Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle ...
Posted today
$141 - $282/hr
In this role, you will be responsible for creating the algorithms that enable smooth, safe, and ... Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle ...
Posted today
$206 - $302/hr
Collaborate with data scientists and machine learning engineers to integrate models and algorithms ... The Trade Desk's Employee Stock Purchase Plan. Note: Interns are not eligible for variable ...
Posted today
$206 - $302/hr
Collaborate with data scientists and machine learning engineers to integrate models and algorithms ... The Trade Desk's Employee Stock Purchase Plan. Note: Interns are not eligible for variable ...
Posted today
$127 - $141/hr
... SE interns. * Collaborate in Agile Workflows: Participate actively in code reviews, team planning ... Solid understanding of data structures, algorithms, and implementation trade-offs. * Experience ...
Posted today
$127 - $141/hr
... SE interns. * Collaborate in Agile Workflows: Participate actively in code reviews, team planning ... Solid understanding of data structures, algorithms, and implementation trade-offs. * Experience ...
Posted today
Internship Algorithmic Trading information
What is an internship algorithmic trading?
Internship algorithmic trading positions are short-term roles, often offered to students or recent graduates, where individuals learn about and assist in developing, testing, and implementing automated trading strategies using computer algorithms. Interns typically work with quantitative analysts, traders, and software engineers to analyze market data, backtest strategies, and optimize trading models. These internships provide hands-on experience with programming, financial markets, and quantitative analysis, serving as a valuable stepping stone for a career in quantitative finance or trading.
What does an internship algorithmic trading do?
As an Algorithmic Trading intern, you'll likely be involved in tasks such as data collection and cleaning, backtesting trading strategies, and assisting with the development or enhancement of trading algorithms. You may work closely with quantitative analysts and traders to analyze market trends, evaluate performance metrics, and optimize models. Interns often gain hands-on exposure to programming languages like Python or C++, and collaborate within a fast-paced, team-oriented environment where communication and problem-solving skills are highly valued.
What skills and qualifications are needed for an internship algorithmic trading?
To thrive as an Algorithmic Trading Intern, you need strong quantitative skills, proficiency in programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by coursework in mathematics, statistics, finance, or computer science. Familiarity with trading platforms, data analysis tools like MATLAB or R, and sometimes experience with version control systems or Bloomberg Terminal, is highly beneficial. Analytical thinking, attention to detail, and effective communication help interns contribute meaningfully to team projects and adapt quickly in fast-paced environments. These skills enable interns to analyze large datasets, develop trading algorithms, and collaborate efficiently, all of which are crucial for success in algorithmic trading.
What is the difference between Internship Algorithmic Trading vs Internship Quantitative Analysis?
| Aspect | Internship Algorithmic Trading | Internship Quantitative Analysis |
|---|---|---|
| Required Credentials | Strong programming skills, basic finance knowledge, often pursuing degrees in finance, computer science, or engineering | Mathematical and statistical skills, degrees in mathematics, statistics, or related fields, programming skills beneficial |
| Work Environment | Fast-paced trading firms, hedge funds, or proprietary trading desks | Financial institutions, research firms, or investment banks |
| Employer & Industry Usage | Common in trading firms and hedge funds focused on developing trading algorithms | Used across finance sectors for data analysis, model development, and research |
Internship Algorithmic Trading focuses on developing and implementing trading algorithms, requiring programming and finance knowledge. Internship Quantitative Analysis emphasizes data analysis and statistical modeling to inform investment decisions. Both roles involve quantitative skills but differ in their primary focus and work environment.
What are the most commonly searched types of Algorithmic Trading jobs in Kentucky?
The most popular types of Algorithmic Trading jobs in Kentucky are:
What are popular job titles related to Internship Algorithmic Trading jobs in Kentucky?
For Internship Algorithmic Trading jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Internship Algorithmic Trading jobs in Kentucky look for?
The top searched job categories for Internship Algorithmic Trading jobs in Kentucky are:
What cities in Kentucky are hiring for Internship Algorithmic Trading jobs?
Cities in Kentucky with the most Internship Algorithmic Trading job openings:
$141 - $282/hr
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Posted 17 hours ago
Posted today
Job description
About The Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
About The Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
About The Role
We are seeking a Software Engineer /Sr. Software Engineer to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.
Responsibilities
- Design and implement the core motion planning logic that determines the vehicle's high-level actions (e.g., lane changes, merges, yields, and interactions with other agents).
- Develop and optimize the motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning (path) and Speed Reasoning (velocity) into a cohesive trajectory.
- Architect and enhance the geometry system for generating geometrically feasible and compliant paths.
- Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles.
- Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner.
- Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors.
- Conduct in-depth analysis, testing, and debugging of the system's performance in various scenarios, leading root cause investigations.
- Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.
Qualifications
- B.S./M.S. in Computer Science, Robotics, or a related field.
- Experience in autonomous systems, robotics, or automotive software development.
- Strong proficiency in C++for implementing complex, real-time algorithms.
- Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms etc.
- Related experience in one or more of the following: motion planning, trajectory optimization and world environment reasoning, trajectory ranking and cost design.
Preferred Qualifications
- PhD or internship experience related to robotics planning system designs.
- Knowledge of vehicle dynamics and longitudinal/lateral control systems.
- Solid understanding of machine learning principles, reinforcement learning and related algorithms.
The base salary range for the Software Engineer position is $141,463–$235,182 annually, and for the Senior Software Engineer position is $169,783–$282,264 annually, in addition to bonus, equity, and benefits. Our salary ranges are determined by the role, level, and location. Within the applicable range, individual compensation is based on the work location as well as other factors, including job-related skills, experience, and relevant education and training.
I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa
About DiDi Labs
Sourced by ZipRecruiter
Company size
5,001 - 10,000 Employees
Headquarters location
Mountain View, CA, US
Year founded
2017