ZipRecruiter

Log In

1

Senior Full Stack Machine Learning Engineer Jobs in Bokoshe, OK

Varsity Tutors

Linear Algebra Tutor

Fort Smith, AR · Remote

$40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Civil Engineering Tutor

Fort Smith, AR · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... senior capstone design. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statics and Dynamics Tutor

Fort Smith, AR · Remote

$40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics Tutor

Fort Smith, AR · Remote

$40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

previous page

Showing results 41-60

All JobsFull Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer Jobs in Bokoshe, OK

Senior Full Stack Machine Learning Engineer information

See Bokoshe, OK salary details

$36.7K

$111.1K

$157K

How much do senior full stack machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for senior full stack machine learning engineer in Bokoshe, OK is $111,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $130,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

Senior Full Stack Machine Learning Engineer jobs near you

Robotics Engineer III - Motion Planning

Fort Smith, AR • On-site

ArcBest
Transportation and Warehousing • 10K+ employees
Learn more about ArcBestexternal

Full-time

Posted 2 days ago

New

ArcBest rating

8.5

Company rating: 8.5 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Summary
Company
ArcBest
Location
Fort Smith, AR - Technologies Lab
Workspace
On-Campus
Pay Type
Salary, Full-Time
Job ID
29568
Share this job
Job Description
The Robotics Engineer III - Motion Planning leads the development, optimization, and large-scale deployment of motion planning architectures for fleet-wide AMR navigation. This position focuses on high-performance optimization, AI-driven behavioral planning, fail-safe recovery strategies, and large-scale robotic coordination. The Robotics Engineer III - Motion Planning designs and refines graph search, optimization-based planners, and reinforcement learning-based motion strategies while ensuring seamless integration with perception and real-time control.
Responsibilities
  • Architect scalable motion planning frameworks for fleet-level AMR deployments.
  • Develop and refine AI-driven motion planning (reinforcement learning, imitation learning, deep MPC).
  • Implement real-time model predictive planners using CasADi, ACADOS, and convex/non-convex solvers.
  • Design and implement advanced fail-safe motion planning strategies, including autonomous re-routing, recovery-based motion primitives, and redundant planning checks.
  • Enhance multi-agent coordination strategies for large-scale robotic path planning and collision avoidance.
  • Decompose complex behaviors into modular, reusable tree structures.
  • Integrate graph-based, hierarchical, and predictive planning models for decision-making.
  • Deploy AI-based planning models (e.g., learning-based cost functions, uncertainty-aware planners).
  • Conduct large-scale simulation and on-robot validation to assess real-time system performance.
  • Optimize cost-aware, energy-efficient, and high-speed trajectory planning for AMRs.
  • Ensure robust software development, CI/CD implementation, and fault-tolerant motion control strategies.
  • Lead cross-functional collaborations and mentor junior engineers in robotics motion planning.
  • Other duties and projects, as assigned.

Requirements
Education:
  • Master's Degree in Robotics, Engineering, Computer Science, or related field, required
  • PhD in Robotics, Engineering, Computer Science, or related field, preferred
Experience:
  • 1 year as a Robotics Engineer II - Motion Planning or equivalent experience, preferred
  • 4 years of experience in robotics motion planning, AI-driven decision models, or multi-agent autonomy.
Computer Skills:
  • Expertise in motion planning algorithms (Hybrid A*, RRT*, ILQR, AI-driven planning). Upon Hire, required
  • Experience with CasADi, ACADOS, convex/non-convex optimization solvers. Upon Hire, required
  • Advanced proficiency in C++/Python, ROS2, and high-performance robotic software development. Upon Hire, required
  • Strong foundation in multi-agent fleet planning, reinforcement learning-based decision-making, and real-time control. Upon Hire, required
Additional Requirements:
  • Proven leadership in large-scale robotic motion planning. Upon Hire, required
  • Strong research background with experience in industry robotics advancements. Upon Hire, required
  • Experience deploying robotic systems in real-world industrial or logistics environments. Upon Hire, preferred
  • Experience designing Behavior Trees (BTs) for high-level decision-making in autonomous systems. Upon Hire, preferred
  • Understanding of perception integration for planning in dynamic environments. Upon Hire, required
  • Strong mathematical foundation in optimization, graph theory, and control systems. Upon Hire, required
Competencies:
  • Active Learning
  • C++
  • Communicating Complex Concepts
  • Disruptive Innovation
  • Linux
  • Programming
  • Robotics/Computer Controlled Machinery
  • Troubleshooting Technical Problems

Other Details
Work Hours:
  • Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload.
Travel Requirements:
  • Occasional (25%-50%) Potential testing and data collection at customer sites.
Compensation:
  • This is a salary position paid biweekly.

About Us
ArcBest® (Nasdaq: ARCB) is a multibillion-dollar integrated logistics company that helps keep the global supply chain moving. Founded in 1923 and now with 14,000 employees across 250 campuses and service centers, the company is a logistics powerhouse, using its technology, expertise and scale to connect shippers with the solutions they need - from ground, air and ocean transportation to fully managed supply chains. ArcBest has a long history of innovation that is enriched by deep customer relationships. With a commitment to helping customers navigate supply chain challenges now and in the future, the company continues to invest in purpose-built technology such as ArcBest View™, its digital logistics platform that brings quoting, booking, shipment visibility and reporting into one connected experience.

What ArcBest employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply