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Weekday Machine Learning Research Scientist Jobs in Dallas, TX

Elevance Health

Research Scientist Senior

Grand Prairie, TX · On-site +1

$93K - $118K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

New

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

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

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

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

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

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

Abbott

Research Scientist II

Plano, TX

Job Title Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology ... Partner with computational scientists, data scientists, and engineers to support machine learning ...

Abbott

Research Scientist II

Plano, TX · On-site

Job Title Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology ... Partner with computational scientists, data scientists, and engineers to support machine learning ...

Abbott

Research Scientist II

Plano, TX · On-site

Job Title Research Scientist II, Neuroscience (Molecular Biology, AI & Adaptive Neurotechnology ... Partner with computational scientists, data scientists, and engineers to support machine learning ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Science, Operations Research, Mathematics, Statistics, Econometrics) Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization) Proficient SQL ...

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All JobsWeekday Machine Learning Research Scientist JobsWeekday Machine Learning Research Scientist Jobs in Dallas, TX

Weekday Machine Learning Research Scientist information

See Dallas, TX salary details

$50K

$128.7K

$172.1K

How much do weekday machine learning research scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for weekday machine learning research scientist in Dallas, TX is $128,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $171,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekday Machine Learning Research Scientist, and why are they important?

To thrive as a Weekday Machine Learning Research Scientist, you need a solid background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Expertise with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and familiarity with cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with teams and present complex findings effectively. These skills are crucial for developing innovative models, delivering impactful research, and ensuring successful implementation in real-world applications.

What does a Weekday Machine Learning Research Scientist do?

A Weekday Machine Learning Research Scientist conducts research and develops new algorithms or models in the field of machine learning, typically during standard business days (Monday to Friday). Their work involves designing experiments, analyzing data, publishing findings, and collaborating with other scientists or engineers. They may focus on improving existing machine learning techniques or creating innovative solutions for real-world problems. This role often requires a strong background in mathematics, computer science, and statistics, as well as proficiency in programming languages like Python or R.

What are some common challenges faced by a Weekday Machine Learning Research Scientist, and how are they typically addressed within the team?

Weekday Machine Learning Research Scientists often encounter challenges such as managing large datasets, tuning complex models, and keeping up with rapidly evolving research. Collaboration is key—team members regularly hold meetings to share findings, brainstorm solutions, and review code. Access to robust computational resources and mentorship from senior researchers helps address technical obstacles, while a structured, weekday schedule allows for focused research and effective work-life balance.

What is the difference between Weekday Machine Learning Research Scientist vs Weekend Machine Learning Research Scientist?

AspectWeekday Machine Learning Research ScientistWeekend Machine Learning Research Scientist
CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsSame as weekday role
Work EnvironmentTypically in office or research labs during standard hoursFlexible hours, often part-time or project-based
Employer & Industry UsageTech companies, research institutions, startupsFreelance projects, consulting firms, academic collaborations

The main difference between a Weekday Machine Learning Research Scientist and a Weekend Machine Learning Research Scientist lies in their work schedule and environment. Weekday roles usually involve full-time employment with structured hours, while weekend roles are often part-time or freelance, offering more flexibility. Both roles require similar credentials and are used across tech and research industries.

Weekday Machine Learning Research Scientist jobs near you

Senior Machine Learning Research Scientist, Secure AI Lab

AIToolboard

Arlington, TX • On-site

$140 - $190/hr

Other

Posted 10 days ago

Job description

Jobs / Senior Machine Learning Research Scientist, Secure AI Lab

Senior Machine Learning Research Scientist, Secure AI Lab

Full-time

About the Role

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.As our government customers adopt AI and machine learning toprovideleap-ahead mission capabilities, we• build real-world, mission-scale AI capabilities through solving practical engineering problems• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities• prepare our customers to be ready for the unique challenges of adopting, deploying, using, andmaintainingAI capabilities• identifyand investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscapeAre you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.Overview:As a Senior Machine LearningResearch Scientist,you will specialize inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities.TheSecure AILab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, theSecure AILabconducts and appliescutting-edgeresearch toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisn’tsupposed to.TheSecure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

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