7,952 Chatbot Engineer jobs in the United States

• 12+ years of experience in Client Engineering with experience in NLP Experience in deploying Client models
• Strong understanding of machine learning principles, especially in the context of LLMs.
• Experience building chatbots using LLM's• Managing Data pipeline/Transforms•
• Experience in Data injestion and Data Visualisation through Tableau or related tools.
• Experience with Data Robot is recommended
• Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.
• 10 & Above Years

• Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
• Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from Azure Open AI
• Database - Snowflake, Oracle, Graph database
• Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 12,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

Location: Euclid - 22801  
Employment Status: Salary Full-Time  
Function: Engineering  
Req ID: 26915  

Summary

Lincoln Electric has an outstanding opportunity for a Machine Learning Engineer based at our Euclid, Ohio manufatcuring headquarters. As a Machine Learning Engineer (ML Engineer), you will be responsible for designing, developing, and implementing deep learning models to address various challenges in developing vision-based tools. You will work closely with cross-functional teams to integrate these models into our products and services, ensuring they meet performance and scalability requirements. 

In addition to competitive pay, Lincoln Electric offers a lucrative profit-sharing plan, student loan repayment program PLUS tuition reimbursement, medical/dental/vision, 401(k) with company match, paid time off and many more outstanding benefits!

** This position has flexibility for hybrid work to be determined as approiate depending on business needs. Candidate must be able to work on-site in Euclid, OH as needed.**

What You Will Do

As an ML Engineer, you will play a key role in a new data science position to help us identify, diagnose, and cure production inefficiencies using data. Specific responsibilities include: 

• Model Development : Design and develop deep learning models using frameworks such as TensorFlow, PyTorch, and Keras for specific applications in the manufacturing domain.
• Training and Evaluation : Train models on large datasets, evaluate their performance, and fine-tune hyperparameters to optimize results.
• Deployment : Implement and deploy models in production environments (including cloud-based deployments), ensuring they are scalable and efficient.
• Collaboration : Work with data scientists, software engineers, and product managers to integrate models into applications and services.
• Research : Stay up to date with the latest advancements in deep learning, transformers and graph neural networks and apply new techniques to new applications.
• Documentation : Maintain thorough documentation of model architecture, training processes, and evaluation metrics using ML Flow or equivalent.

Education & Experience Requirements

• Education : Bachelor's or Master’s degree in computer science, Electrical Engineering, or a related field. PhD is a plus.
• Experience : Proven experience (7+ years) in developing and deploying deep learning models. Experience with large-scale datasets and cloud platforms is preferred.
• Skills :
  • Proficiency in deep learning frameworks and ability to design boutique neural networks with data augmentation and attention mechanisms.
  • Ability to write professional software using SOLID programming principles and writing testing protocols for ML code.
  • Working knowledge of using version control tools and principles to collaborate with other team members.
  • Deep knowledge of partial differential equations, scientific computing and statistical methods.
• Soft Skills : Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Machine Learning Engineer

• 4+ years of professional ML engineering experience at an AI/ML-focused organization.
• Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision.
• Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP.
• Extensive practical experience with PyTorch.
• Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management.
• Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
• n ability to move fast and switch between modes of rapid prototyping and robust implementation as required.

• Experience deploying models on embodied systems/robots.
• Experience working in mixed teams of research scientists and engineers.
• Experience Amazon EC2, S3, and/or Sagemaker.
• Experience with Bazel.

Optimum

Are you looking to Optimize your life? Start your exciting path to a rewarding career today!

We are Optimum, a leader in the fast-paced world of connectivity, and we're on the hunt for enthusiastic professionals to join our team! We understand that connectivity isn't just a luxury anymore - it's a necessity that empowers lives, fuels businesses, and drives innovation. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. We owe our success to our amazing product, commitment to our people and the connections we make in every community.

If you are resourceful, collaborative, team-oriented and passionate about delivering consistent excellence, Optimum is the Company for you!

We areOptimum!

Universal Cable Holdings, Inc. seeks a Machine Learning Engineer to identify data relations, patterns, and features that are predictive of user behaviors, preferences, intents, and interests. Leverage advanced analytics techniques, including Artificial Intelligence (AI) and Machine Learning (ML), to design, prototype, and build solutions to business problems.

Lead stakeholder communications to drive use case development and manage expectations on model limitations and lead times. Execute projects from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, communication of insights and recommendations, and productionalization of final model products. Communicate findings with stakeholders to improve business decisions and influence strategic direction. #LI-DNI

Position requires a Master's degree in Data Science, Computer Science, or a closely related quantitative field, and 2 years of experience with machine learning techniques including classification, regression, clustering, natural language processing, and optimization. Experience must include a minimum of: 2 years of experience with Bayesian inference, frequentist statistics, and causal modeling; 2 years of experience with R or Python for statistical and machine learning programming; 2 years of experience with SQL or Python coding to wrangle and explore structured and unstructured data; 2 years of experience with server and cloud computing platforms, including Google Compute Engine and EC2; and 2 years of experience with data warehouses, including Oracle, Big Query, and AWS. Part-time telecommuting is permitted.

Job location: Long Island City, NY. Rate of Pay: $170,001.00 - $80,001.00 per year. To apply, please visit and search by job title or enter Job ID number: 9787

At Optimum, we're fueled by our four core pillars: Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise. Our commitment to empowering employees to take responsibility and embrace proactive problem-solving underpins Taking Ownership. Upholding Transparency is at the core of our culture, with open and honest communication fostering trust among our dedicated team and loyal customers. Creating Community is more than a goal; it's our daily commitment to fostering an environment of collaboration, innovation, and positivity. Demonstrating expertise is a promise we uphold through continuous learning and engagement with our customers to consistently deliver top-quality products and services. These pillars not only shape our culture but define Optimum as a place of excellence, trustworthiness, and thriving community, and we invite you to be a part of our journey.

If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team, so together, we'll shape the future of connectivity.

All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity.

We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.

The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.

Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQfor further details.

Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is 170,001.00 - 180,001.00 per year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity.

Job DescriptionJob Description

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

We're looking for an ML Scientist to join our AI team to join in developing the scientific foundations for our healthcare AI platform. As a scientist at Qualified Health, you'll be at the cutting edge of applied research on evaluating and improving generative AI applied in a healthcare setting, while also working closely with doctors and other healthcare professionals to ensure the system meets their needs.

In this role, you will develop methodologies to understand and measure the capabilities, limitations, and safety properties of agentic workflows and other generative AI system components. You'll design and implement evaluation frameworks that rigorously assess how well our systems perform a wide variety of healthcare-oriented tasks. And you will use these measures and frameworks to improve the performance of our system.

Key Responsibilities:

• Design and implement evaluation methodologies to measure the reliability, safety, and effectiveness of our AI platform
• Develop novel benchmarks and metrics that capture the nuanced requirements of our adaptive care platform
• Conduct empirical research on the capabilities and limitations of agentic AI workflows in healthcare settings
• Collaborate with our care teams to ensure evaluations are clinically relevant and aligned with patient needs
• Build monitoring systems to detect potential failures or risks in AI-assisted care workflows
• Contribute to the scientific literature on AI evaluation in healthcare through publications and conference presentations
• Work closely with our engineering and product teams to integrate evaluation insights into system development
• Help establish best practices for the safe deployment of agentic systems within our full-stack healthcare system

Required Qualifications:

• PhD or equivalent research experience in machine learning, AI, computer science, or a related field
• Expert-level background in machine learning research, particularly in areas related to models, reinforcement learning, or AI alignment
• Excellent programming skills, preferably in Python
• Track record of high-quality research publications in venues like NeurIPS, ICML, ACL, ICLR, or similar
• Interest in and enthusiasm for the responsible development of AI technology in healthcare

Desirable Skills:

• Experience working with large models or foundation models
• Experience designing and implementing evaluation methodologies for complex AI systems
• Background in healthcare informatics, clinical decision support systems, or medical AI
• Prior work on generative AI robustness and evaluation

What we offer:

• Competitive startup salary and equity packages.
• Health, dental, and vision insurance.
• Flexible working hours and hybrid work options.
• An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
• A vibrant and inclusive work environment that fosters creativity and innovation.

Pay & Benefits: The pay range for this role is between $200,000 and $300,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.