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Entry Level Computer Science Research Jobs in Dallas, TX

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

The Select Group is seeking an Entry-Level Software Engineer with a strong apt for Object-Oriented ... within an enterprise company or a Computer Science Degree. * Strong experience with C#.

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Entry Level Computer Science Research information

How to make $10,000 a month with no degree?

Entry level computer science research roles typically do not pay $10,000 per month without advanced skills or experience. To increase earning potential, developing expertise in high-demand areas like machine learning, cybersecurity, or software engineering, along with certifications and a strong portfolio, can help. Freelance work, consulting, or building scalable projects may also contribute to higher income over time.

What professions make $200,000 a year without a degree?

Entry-level computer science research roles typically do not pay $200,000 annually without advanced degrees or significant experience. High-paying tech jobs such as software engineering, data science, or cybersecurity positions often require specialized skills, certifications, or experience, and reaching a $200,000 salary usually involves several years in the field or working in senior or specialized roles.

What is the difference between Entry Level Computer Science Research vs Entry Level Software Developer?

AspectEntry Level Computer Science ResearchEntry Level Software Developer
Required CredentialsBachelor's degree in CS or related field; research experience beneficialBachelor's degree in CS or related field; coding skills essential
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, startups, software firms
Employer & Industry UsageUniversities, research institutes, tech companiesSoftware development firms, tech industry
Common Search & Comparison IntentUnderstanding research-focused roles in CSEntry-level coding and development roles

Entry Level Computer Science Research roles focus on exploring new algorithms, theories, and innovations within academic or research settings, often requiring research experience. In contrast, Entry Level Software Developer positions emphasize coding, building applications, and deploying software in industry environments. Both roles require a bachelor's degree in CS, but their work environments and daily tasks differ significantly.

What are entry level computer science research positions?

Entry level computer science research positions are roles designed for individuals who have recently graduated with a degree in computer science or a related field and are interested in gaining experience in research. These positions typically involve assisting with research projects, conducting experiments, analyzing data, and writing reports under the guidance of senior researchers or professors. They are often found in academic institutions, research labs, or tech companies and can serve as a stepping stone toward more advanced research or graduate studies. Candidates are usually expected to have a foundational understanding of computer science principles and some experience with programming or data analysis.

Is computer science dead due to AI?

Entry level computer science research roles continue to be in demand as AI advances, requiring skills in programming, algorithms, and data analysis. AI tools can augment research but do not replace the need for foundational computer science knowledge and critical thinking. Staying current with emerging technologies and gaining relevant certifications can enhance job prospects in this evolving field.

How to start research work in computer science?

To start research work in computer science, begin by gaining a strong foundation in programming, algorithms, and data structures through coursework or self-study. Identify your area of interest, read relevant research papers, and seek opportunities such as internships or assistant roles to gain practical experience and mentorship.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Researcher, and why are they important?

To excel as an Entry Level Computer Science Researcher, you need a solid background in computer science fundamentals, programming, and data analysis, typically supported by a relevant bachelor's degree. Familiarity with programming languages (such as Python, Java, or C++), research tools (like MATLAB or R), and version control systems (like Git) is often required. Strong problem-solving abilities, critical thinking, and effective written and verbal communication make candidates stand out. These skills enable researchers to contribute to innovative projects, collaborate with peers, and clearly present findings in a rapidly evolving field.

What are typical daily tasks and research activities for someone in an entry level computer science research position?

In an entry level computer science research role, your daily tasks often include reviewing recent literature, coding and running experiments, collecting and analyzing data, and documenting results. You’ll likely collaborate with senior researchers, attend group meetings to discuss progress, and assist with preparing papers or presentations. The work environment is usually team-oriented, with ample opportunities to learn from mentors and contribute to ongoing projects. This hands-on experience helps you build both technical and analytical skills that are essential for advancing in research-focused careers.
What are the most commonly searched types of Computer Science Research jobs in Dallas, TX? The most popular types of Computer Science Research jobs in Dallas, TX are:
What are popular job titles related to Entry Level Computer Science Research jobs in Dallas, TX? For Entry Level Computer Science Research jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Research jobs in Dallas, TX look for? The top searched job categories for Entry Level Computer Science Research jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Entry Level Computer Science Research jobs? Cities near Dallas, TX with the most Entry Level Computer Science Research job openings:
Infographic showing various Entry Level Computer Science Research job openings in Dallas, TX as of July 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Research Scientist, Learnable Planner

Waabi

Dallas, TX • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
- Previous experience in self-driving technology.
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.