TheIncLab is hiring: Machine Learning Engineer in Chicago
TheIncLab, Chicago, IL, United States
Overview
The Mission Starts Here
TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success. We are where innovation meets purpose; and where your career can meet purpose as well. We are looking for a Machine Learning Engineer that will focus on supporting the research, development, training, and evaluation of machine learning models used to solve complex, real-world problems. We encourage you to apply and take the first step in joining our dynamic and impactful company.
This role is ideal for an engineer who has strong foundation in machine learning fundamentals and is eager to grow by working alongside senior ML engineers. The Machine Learning Engineer will contribute to model development, data preparation, experimentation, and evaluation while learning how to make informed architectural and modeling decisions.
This is not a role focused on integrating third-party AI services or prompt-based systems. The ideal candidate is interested in understanding how models work, how they are trained, and how data and design choices affect performance.
Your Mission, Should You Choose to Accept
As a Machine Learning Engineer, you will join our Research & Product Innovation Department and team.
What will you do?
Assist in researching and evaluating machine learning approaches under guidance
Supervised, unsupervised, and learning
Introductory reinforcement learning concepts
Neural networks and classical ML techniques such as decision trees and ensemble methods
Transformer-based models and Retrieval-Augmented Generation (RAG) systems
Implement and train machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
Support the formulation of ML-based solutions to optimization and decision-making problems
Pathfinding and routing
Basic combinatorial or constraint-based optimization
Contribute to data pipelines for ML systems
Data validation and quality checks
Feature engineering and preprocessing
Applying data augmentation techniques as directed
Train, tune, evaluate models, identifying issues such as overfitting or underperformance
Apply evaluation metrics to assess model performance and make interactive improvements with guidance
For transformer-based systems: Assist with managing context windows and token budgets
Implement chunking and retrieval strategies as directed
Integrate trained models into existing systems with support from senior engineers
Document experiments, results, and implementation details using tools such as Git, Jira, and Confluence
Learn and follow best practices for ML experimentation, reproducibility, and software development
Stay curious and engaged with emerging machine learning techniques and tools
Capabilities that will enable your success
Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related field
1-3 years of professional experience or equivalent academic/project experience in machine learning or data science
Strong understanding of core machine learning concepts to include basic model selection, evaluation, overfitting, generalization, loss functions, and optimization fundamentals
Hands-on experience training models using frameworks such as PyTorch or TensorFlow
Proficiency in Python
Experience working with real-world datasets, including cleaning and preprocessing
Ability to learn quickly and apply feedback from senior engineers
Strong problem-solving skills and attention to detail
Ability to travel up to 20%
Preferred Qualifications
Internship, research, or project experience involving machine learning model training
Exposure to deep learning architectures such as CNNs or Transformers
Familiarity with experiment tracking or visualization tools
Experience deploying models in academic, prototype, or production-like environments
Interest in optimization, planning or decision-making problems
Clearance Requirements
Applicants must be a U.S. Citizen and willing and eligible to obtain a U.S. Security Clearance at the Top-Secret level. Active Top Secret clearance is preferred.
Benefits
Hybrid and flexible work schedules
Professional development programs
Training and certification reimbursement options for Me
Extended and floating holiday schedule
Paid time off and Paid volunteer time
Health and Wellness Benefits including medical, dental, and vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs
100% Company Paid Benefits that include STD, LTD, and Basic Life insurance
401(k) Plan Options with employer matching Incentive bonuses for eligible clearances, performance, and employee referrals
A company culture that values your individual strengths, career goals, and contributions to the team
About TheIncLab
Founded in 2015, TheIncLab (“TIL”) is the first human-centered artificial intelligence (AI+X) lab. We engineer complex, integrated solutions that combine cutting-edge AI technologies with emerging systems-of-systems to solve some of the most difficult challenges in the defense and aerospace industries. Our work spans diverse technological landscapes, from rapid ideation and prototyping to deployment.
At TIL, we foster a culture of relentless optimism. No problem is too hard, no project is too big, and no challenge is too complex to tackle. This is possible due to the positive attitude of our teams. We approach every problem with a “yes” attitude and focus on results. Our motto, “demo or die,” encompasses the idea that failure is not an option.
We do all of this with a work ethic rooted in kindness and professionalism. The positive attitude of our teams is only possible due to the support TIL provides to each individual.
At TIL, we believe that every challenge is an opportunity for growth and innovation. Our teams are encouraged to think outside the box and come up with creative solutions to complex problems. We understand that the path to success is not always straightforward, but we are committed to persevering and finding a way forward.
Our culture of relentless optimism is not just about having a positive attitude; it is about taking action and making things happen. We believe in the power of collaboration and teamwork, and we know that by working together, we can achieve great things. Our teams are made up of individuals who are passionate about their work and dedicated to making a difference.
Learn more about TheIncLab and our job opportunities at www.theinclab.com.
*Salary range guidance provided is not a guarantee of compensation. Offers of employment may be at a salary range that is outside of this range and will be based on qualifications, experience, and possible contractual requirements.
*This is a direct hire position, and we do not accept resumes from third-party recruiters or agencies.
#J-18808-Ljbffr
In Summary: TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success . The Machine Learning Engineer will contribute to model development, data preparation, experimentation, and evaluation while learning how to make informed architectural and modeling decisions . This is not a role focused on integrating third-party AI services or prompt-based systems .
En Español: IncLab ofrece ingenieros y plataformas digitales inteligentes que revolucionan la forma en que nuestros clientes y equipos críticos de misión logran el éxito. Estamos donde la innovación cumple con un propósito; y donde su carrera puede cumplir con un objetivo también. Buscamos a un Ingeniero de Aprendizaje Automático que se centrará en apoyar la investigación, desarrollo, capacitación y evaluación de modelos de aprendizaje automático utilizados para resolver problemas complejos del mundo real. El candidato ideal está interesado en entender cómo funcionan los modelos, cómo se entrenan y cómo las opciones de diseño y datos afectan al rendimiento. Su misión es: Si eliges aceptar como ingeniero de aprendizaje automático (RAG), te unirás a nuestro Departamento de Investigación e Innovación de Productos. ¿Qué vas a hacer? Ayudar a investigar y evaluar enfoques de aprendizado automático bajo orientación Supervisado, sin supervisión y con conocimientos básicos Conceptos de reinforcamiento del aprendizaje Introductivo Las redes neuronales y técnicas clásicas de ML tales como árboles de decisión y métodos conjuntos Modelos basados en Transformer y Recuperación Aprender-Augmented Generation (RPG) sistemas Implementar y capacitar modelos de aprendizajes automáticos utilizando marcos como PyTorch, TensorFlow o Tensión sobre el problema Soportando la formulación de principios de experimentación basada en máquina para optimizar y resolver problemas Tensiones Astraordinada y encaminada Los mejores procedimientos de desarrollo de información que permiten mejorar sus habilidades académicas y desarrollar soluciones generalizadas O mejorando los resultados de trabajo con una experiencia avanzada En cuanto a la aplicación de software, así como aplicaciones matemáticas y otras tecnologías de inteligencia, incluyendo la evaluación de ciencias mecánica y la práctica de computarizada y la mejora de los procesos de gestión de datos y la implementación de proyectos de piezas, comprendiendo las mejores prácticas de conocimientos prácticas para realizar análisis de datos con bases de datos, aprovecharse de las funciones y la tecnología y la capacidad de cálculo de datos en línea, implementar más ampliación de los programas de software y la aplicación, aplicativos, etc. Ciudadanos y dispuestos y elegibles para obtener una autorización de seguridad en los Estados Unidos a nivel Top-Secret. Se prefiere la licencia secreta activa top secret. Beneficios Programas de desarrollo profesional híbridos y flexibles Opciones de reembolso de certificación y capacitación para el programa Me Extendido y fluido horario de vacaciones Tiempo libre pagado y tiempo voluntario Pagado Salud y bienestar beneficios incluyendo seguro médico, dental y visión junto con acceso al Bienestar, salud mental y programas de asistencia a empleados 100% ventajas pagadas por empresa que incluyen STD, LTD y seguros básicos de vida 401 ((k) Plan opciones con un empleador que coincide con bonos incentivos para las autorizaciones elegibles, rendimiento y referencias de empleados Una cultura corporativa que valora sus fortalezas individuales, metas profesionales y contribuciones al equipo TheIncLab Fundada en 2015, El Laboratorio TILX (TILx) es el proyecto más complejo del mundo del trabajo debido a sistemas inteligentes artificiales, no se puede abordar demasiado desafíos tecnológicos e integrando demasiadas tecnologías. En TIL, creemos que cada desafío es una oportunidad de crecimiento e innovación. Nuestros equipos son animados a pensar fuera de la caja y encontrar soluciones creativas para problemas complejos. Entendemos que el camino hacia el éxito no siempre es sencillo, pero estamos comprometidos a perseverar y buscar un camino adelante.
The Mission Starts Here
TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success. We are where innovation meets purpose; and where your career can meet purpose as well. We are looking for a Machine Learning Engineer that will focus on supporting the research, development, training, and evaluation of machine learning models used to solve complex, real-world problems. We encourage you to apply and take the first step in joining our dynamic and impactful company.
This role is ideal for an engineer who has strong foundation in machine learning fundamentals and is eager to grow by working alongside senior ML engineers. The Machine Learning Engineer will contribute to model development, data preparation, experimentation, and evaluation while learning how to make informed architectural and modeling decisions.
This is not a role focused on integrating third-party AI services or prompt-based systems. The ideal candidate is interested in understanding how models work, how they are trained, and how data and design choices affect performance.
Your Mission, Should You Choose to Accept
As a Machine Learning Engineer, you will join our Research & Product Innovation Department and team.
What will you do?
Assist in researching and evaluating machine learning approaches under guidance
Supervised, unsupervised, and learning
Introductory reinforcement learning concepts
Neural networks and classical ML techniques such as decision trees and ensemble methods
Transformer-based models and Retrieval-Augmented Generation (RAG) systems
Implement and train machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
Support the formulation of ML-based solutions to optimization and decision-making problems
Pathfinding and routing
Basic combinatorial or constraint-based optimization
Contribute to data pipelines for ML systems
Data validation and quality checks
Feature engineering and preprocessing
Applying data augmentation techniques as directed
Train, tune, evaluate models, identifying issues such as overfitting or underperformance
Apply evaluation metrics to assess model performance and make interactive improvements with guidance
For transformer-based systems: Assist with managing context windows and token budgets
Implement chunking and retrieval strategies as directed
Integrate trained models into existing systems with support from senior engineers
Document experiments, results, and implementation details using tools such as Git, Jira, and Confluence
Learn and follow best practices for ML experimentation, reproducibility, and software development
Stay curious and engaged with emerging machine learning techniques and tools
Capabilities that will enable your success
Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related field
1-3 years of professional experience or equivalent academic/project experience in machine learning or data science
Strong understanding of core machine learning concepts to include basic model selection, evaluation, overfitting, generalization, loss functions, and optimization fundamentals
Hands-on experience training models using frameworks such as PyTorch or TensorFlow
Proficiency in Python
Experience working with real-world datasets, including cleaning and preprocessing
Ability to learn quickly and apply feedback from senior engineers
Strong problem-solving skills and attention to detail
Ability to travel up to 20%
Preferred Qualifications
Internship, research, or project experience involving machine learning model training
Exposure to deep learning architectures such as CNNs or Transformers
Familiarity with experiment tracking or visualization tools
Experience deploying models in academic, prototype, or production-like environments
Interest in optimization, planning or decision-making problems
Clearance Requirements
Applicants must be a U.S. Citizen and willing and eligible to obtain a U.S. Security Clearance at the Top-Secret level. Active Top Secret clearance is preferred.
Benefits
Hybrid and flexible work schedules
Professional development programs
Training and certification reimbursement options for Me
Extended and floating holiday schedule
Paid time off and Paid volunteer time
Health and Wellness Benefits including medical, dental, and vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs
100% Company Paid Benefits that include STD, LTD, and Basic Life insurance
401(k) Plan Options with employer matching Incentive bonuses for eligible clearances, performance, and employee referrals
A company culture that values your individual strengths, career goals, and contributions to the team
About TheIncLab
Founded in 2015, TheIncLab (“TIL”) is the first human-centered artificial intelligence (AI+X) lab. We engineer complex, integrated solutions that combine cutting-edge AI technologies with emerging systems-of-systems to solve some of the most difficult challenges in the defense and aerospace industries. Our work spans diverse technological landscapes, from rapid ideation and prototyping to deployment.
At TIL, we foster a culture of relentless optimism. No problem is too hard, no project is too big, and no challenge is too complex to tackle. This is possible due to the positive attitude of our teams. We approach every problem with a “yes” attitude and focus on results. Our motto, “demo or die,” encompasses the idea that failure is not an option.
We do all of this with a work ethic rooted in kindness and professionalism. The positive attitude of our teams is only possible due to the support TIL provides to each individual.
At TIL, we believe that every challenge is an opportunity for growth and innovation. Our teams are encouraged to think outside the box and come up with creative solutions to complex problems. We understand that the path to success is not always straightforward, but we are committed to persevering and finding a way forward.
Our culture of relentless optimism is not just about having a positive attitude; it is about taking action and making things happen. We believe in the power of collaboration and teamwork, and we know that by working together, we can achieve great things. Our teams are made up of individuals who are passionate about their work and dedicated to making a difference.
Learn more about TheIncLab and our job opportunities at www.theinclab.com.
*Salary range guidance provided is not a guarantee of compensation. Offers of employment may be at a salary range that is outside of this range and will be based on qualifications, experience, and possible contractual requirements.
*This is a direct hire position, and we do not accept resumes from third-party recruiters or agencies.
#J-18808-Ljbffr
In Summary: TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success . The Machine Learning Engineer will contribute to model development, data preparation, experimentation, and evaluation while learning how to make informed architectural and modeling decisions . This is not a role focused on integrating third-party AI services or prompt-based systems .
En Español: IncLab ofrece ingenieros y plataformas digitales inteligentes que revolucionan la forma en que nuestros clientes y equipos críticos de misión logran el éxito. Estamos donde la innovación cumple con un propósito; y donde su carrera puede cumplir con un objetivo también. Buscamos a un Ingeniero de Aprendizaje Automático que se centrará en apoyar la investigación, desarrollo, capacitación y evaluación de modelos de aprendizaje automático utilizados para resolver problemas complejos del mundo real. El candidato ideal está interesado en entender cómo funcionan los modelos, cómo se entrenan y cómo las opciones de diseño y datos afectan al rendimiento. Su misión es: Si eliges aceptar como ingeniero de aprendizaje automático (RAG), te unirás a nuestro Departamento de Investigación e Innovación de Productos. ¿Qué vas a hacer? Ayudar a investigar y evaluar enfoques de aprendizado automático bajo orientación Supervisado, sin supervisión y con conocimientos básicos Conceptos de reinforcamiento del aprendizaje Introductivo Las redes neuronales y técnicas clásicas de ML tales como árboles de decisión y métodos conjuntos Modelos basados en Transformer y Recuperación Aprender-Augmented Generation (RPG) sistemas Implementar y capacitar modelos de aprendizajes automáticos utilizando marcos como PyTorch, TensorFlow o Tensión sobre el problema Soportando la formulación de principios de experimentación basada en máquina para optimizar y resolver problemas Tensiones Astraordinada y encaminada Los mejores procedimientos de desarrollo de información que permiten mejorar sus habilidades académicas y desarrollar soluciones generalizadas O mejorando los resultados de trabajo con una experiencia avanzada En cuanto a la aplicación de software, así como aplicaciones matemáticas y otras tecnologías de inteligencia, incluyendo la evaluación de ciencias mecánica y la práctica de computarizada y la mejora de los procesos de gestión de datos y la implementación de proyectos de piezas, comprendiendo las mejores prácticas de conocimientos prácticas para realizar análisis de datos con bases de datos, aprovecharse de las funciones y la tecnología y la capacidad de cálculo de datos en línea, implementar más ampliación de los programas de software y la aplicación, aplicativos, etc. Ciudadanos y dispuestos y elegibles para obtener una autorización de seguridad en los Estados Unidos a nivel Top-Secret. Se prefiere la licencia secreta activa top secret. Beneficios Programas de desarrollo profesional híbridos y flexibles Opciones de reembolso de certificación y capacitación para el programa Me Extendido y fluido horario de vacaciones Tiempo libre pagado y tiempo voluntario Pagado Salud y bienestar beneficios incluyendo seguro médico, dental y visión junto con acceso al Bienestar, salud mental y programas de asistencia a empleados 100% ventajas pagadas por empresa que incluyen STD, LTD y seguros básicos de vida 401 ((k) Plan opciones con un empleador que coincide con bonos incentivos para las autorizaciones elegibles, rendimiento y referencias de empleados Una cultura corporativa que valora sus fortalezas individuales, metas profesionales y contribuciones al equipo TheIncLab Fundada en 2015, El Laboratorio TILX (TILx) es el proyecto más complejo del mundo del trabajo debido a sistemas inteligentes artificiales, no se puede abordar demasiado desafíos tecnológicos e integrando demasiadas tecnologías. En TIL, creemos que cada desafío es una oportunidad de crecimiento e innovación. Nuestros equipos son animados a pensar fuera de la caja y encontrar soluciones creativas para problemas complejos. Entendemos que el camino hacia el éxito no siempre es sencillo, pero estamos comprometidos a perseverar y buscar un camino adelante.