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

YO AI Labs

Backend Developer - Remote

Houston, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Frontend Developer - Remote

Houston, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · Hybrid

Develop and implement machine learning algorithms to solve complex business problems. * Analyze ... Collaborate with product managers and engineers to integrate data science solutions into enterprise ...

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · On-site

$150 - $200/hr

Develop and implement machine learning algorithms to solve complex business problems. * Analyze ... Collaborate with product managers and engineers to integrate data science solutions into enterprise ...

DataAnnotation

Programmer - AI Trainer

Houston, TX · On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Persona AI, Inc.

Welding Engineer

Houston, TX · On-site

$80 - $100/hr

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform ... Experience designing and implementing robotic welding algorithms such as touch sensing ...

DataAnnotation

Software Developer - AI Trainer

Houston, TX · On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

... AI Optimization Engineer within our Applied AI Center of Excellence group based in Houston, TX. ... and algorithmic techniques to build, maintain, and improve on decision systems/processes.

Yantran LLC

Customer Delivery Head

Texas City, TX · On-site

This role requires a deep understanding of AI/ML principles, algorithms, and frameworks, as well as the ability to lead and mentor a team of developers. Responsibilities: Design, develop, and ...

YO AI Labs

GitHub Contributor - Remote

Houston, TX · Remote

$55 - $160/hr

Deep understanding of algorithms, data structures, and software engineering principles. * Proven ... Interest in or curiosity about AI and its technical challenges (previous AI experience not required)

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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 Sep 9, 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 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 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 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.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.
Ai Algorithm Engineer jobs near you

Deep Learning - Robot Manipulation Engineer

Houston, TX • On-site

Persona AI
See more jobs at Persona AIexternal

Full-time

Medical, PTO

Re-posted 24 days ago

Job description

Job Title: Deep Learning - Robot Manipulation Engineer
Department: Machine Learning
Reports To: Head of Machine Learning
Employment Type: Full-Time
Location: Houston, TX
Travel: 10%
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Why Join Persona AI?
  • We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value creativity, and continuous learning.

About the Role
We're looking for a Deep Learning Manipulation Engineer to help train Persona AI robots to do real work in real world environments. We're looking for exceptional people who dream big, thrive on challenges, and love seeing their efforts come to life. We are primarily interested in candidates who have developed and released products to the market, but can be flexible depending on aptitude and energy.
As one of the inaugural Deep Learning Manipulation Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's deep learning and manipulation strategy and infrastructure. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
What You Will Be Doing
  • Design and implement advanced deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands.
  • Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation.
  • Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies.
  • Work with the teleoperation and data team to design data collection and versioning strategies.
  • Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks.
  • Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors.
  • Collaboratively develop and optimize the manipulation ML pipeline.
  • Keep up to date with the state of the art in research and development.
  • Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

What We Are Looking For:
  • Courage and grit to tackle some of the hardest problems in robot manipulation.
  • Enthusiasm for working collaboratively in fast paced ambiguous environments.
  • Masters or PhD in Robotics, Computer Science, or a related field.
  • 3+ years of experience in applying deep learning to robotic manipulation.
  • Strong understanding and proficiency with state of the art algorithms and best-practices in behavior cloning, vision-language-action models, diffusion policies, foundation models, etc.
  • Experience with cloud computing and large-scale datasets.
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high quality software.
  • Strong first principles thinker.

Bonus Skills:
  • Experience with other aspects of ML applied to robotics, including computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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