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Ai Algorithm Engineer Jobs in Friendswood, TX (NOW HIRING)

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to ... Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas ...

HighRadius

Forward Deployed Engineer

Houston, TX · On-site

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

HighRadius

Forward Deployed Engineer

Houston, TX · On-site

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

Pwc

AI Engineer

Houston, TX · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

Pwc

AI Engineer

Houston, TX · On-site

$55K - $187K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... Within our Internal Firm Services practice, you will apply data, algorithms, and software ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

They are seeking an experienced AI Optimization Engineer to apply advanced optimization and AI ... algorithmic techniques to build, maintain, and improve on decision systems/processes. • ...

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$124K - $132K/yr

... within the IT department, the AI Engineer III is responsible for collaborating with data ... algorithms. * Ensure compliance with enterprise data governance, security, and regulatory ...

circa

AI Engineer III

Houston, TX

... within the IT department, the AI Engineer III is responsible for collaborating with data ... algorithms. * Ensure compliance with enterprise data governance, security, and regulatory ...

YO AI Labs

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

No prior experience in AI is required -- your domain knowledge is what matters. We are seeking ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Persona AI

Autonomy Engineer

Houston, TX · On-site

$97K - $128K/yr

Houston, TX Travel: 10% Who We Are Persona AI is building humanoid robots for the most demanding ... Design and implement autonomy and behavior coordination algorithms for an industrial humanoid ...

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX · On-site

$99K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ... algorithm scalability and deployment based on agile business priorities and initiatives

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All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Friendswood, TX

Ai Algorithm Engineer information

See Friendswood, TX salary details

$52.1K

$97.7K

$177.6K

How much do ai algorithm engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai algorithm engineer in Friendswood, TX is $97,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $115,900.00 per year, depending on experience, location, and employer.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What cities near Friendswood, TX are hiring for Ai Algorithm Engineer jobs? Cities near Friendswood, TX with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you

Senior Algorithm Engineer, Reinforcement Learning

Bot Auto

Houston, TX • On-site

$99K - $137K/yr

Full-time

Medical, PTO

Re-posted 9 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.
Role Overview
We are seeking a Senior ML/RL Engineer to join our Algo team and drive the development of our unified behavioral architecture. In this role, you will help bridge the gap between simulation and the real world by developing a scalable policy framework that represents both our L4 ego-policy and a diverse population of simulated agents. You will work at the intersection of Multi-Agent Reinforcement Learning (MARL) and safety-critical system design to ensure our autonomous semi-trucks navigate highways with superhuman safety and precision.
Key Responsibilities
  • Behavioral Modeling: Develop and train diverse, conditioned policies that simulate realistic driving behaviors to stress-test and validate our autonomous driving stack.
  • Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ensure safety metrics are treated as primary constraints in the learning process.
  • Reward & Objective Design: Collaborate with cross-functional teams to design robust reward functions and evaluation metrics that balance safety, progress, and comfort.
  • Scalable Training Pipelines: Contribute to the optimization of our large-scale, high-throughput training environments to enable rapid iteration on complex multi-agent scenarios.
  • Model Architecture: Advance our state-of-the-art neural architectures to improve spatial reasoning, long-horizon planning, and interaction modeling.
  • Cross-Team Collaboration: Work closely with Simulation and Planning teams to integrate research-grade models into production-quality, safety-critical software.
Required Qualifications
  • Professional RL Experience: Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real-world robotic or autonomous systems.
  • Technical Mastery: Expertise in Python and PyTorch; strong understanding of modern deep learning architectures and optimization techniques.
  • Academic Background: MS or PhD in Computer Science, Robotics, or a related quantitative field.
  • Scientific Intuition: Ability to diagnose and solve fundamental challenges in RL training, such as variance management and distribution shift.
Preferred Qualifications
  • Safe RL Specialization: Experience with constrained optimization or safety-critical learning frameworks.
  • Multi-Agent Systems: Background in MARL training stability, including self-play and decentralized execution strategies.
  • Autonomous Driving Domain: Familiarity with vehicle dynamics and behavior planning, particularly for long-haul highway environments.
Additional Information
  • Compensation: Competitive salary based on experience, with opportunities for performance bonuses and equity.
  • Benefits: Comprehensive health insurance, paid time off, and the opportunity to work at the forefront of the autonomous trucking industry.
Why Bot Auto?
We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We recently successfully completed the industry's first fully humanless commercial truckload, proving that our vision is a reality. If you are passionate about AI, safety, and transforming logistics, we want to hear from you.

Apply