Senior Machine Learning Engineer Job at Redwood Logistics, LLC in Chicago
Redwood Logistics, LLC, Chicago, IL, United States
Reports To: Vice President of Data Science
Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.
Leveraging a comprehensive range of services, data‑centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid‑market segment within the freight tech industry.
Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.
Purpose of Your Work: As a Senior Machine Learning Engineer working within our brokerage, you will be responsible for developing tech‑forward solutions to drive automation and informed decision‑making within our business. You will delve into unique and complex issues within the logistics space and partner with cross‑functional teams across business, technology, and product to ideate, develop, recommend, and implement solutions. You will leverage your skill set in statistics, machine learning, and MLOps to build various models and infrastructure, delivering results and communicating actionable insights.
How You Make a Difference Every Day: Develop and implement models and simulations that leverage statistics, data science, and machine‑learning technologies within our brokerage, that impact metrics, and streamline network operations.
Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders.
Conduct a root‑cause analysis to identify the key drivers influencing operational performance and variance in outcomes.
Develop and optimize MLOps pipelines for speed, reliability, and observability.
Collaborate with cross‑functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs, assumptions, and understand business processes along the way.
You’ve Got This? MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience.
3+ years of experience applying Machine Learning/MLOps to solve business problems.
Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production.
Hands‑on experience with open‑source languages and tooling for large‑scale ML (e.g., Ray, Flink, Feast).
Experience working with Data Warehouses and ETL pipelines (e.g., Redshift, Databricks, Snowflake, Airflow).
Strong Python and SQL skills.
Experience with Data Science and/or Machine Learning in supply chain, logistics, transportation, or a similar space is a plus.
Ability to communicate with technical and non‑technical stakeholders is a plus.
What We Offer: Access to experts and resources for your Learning & Development journey.
Opportunity for internal mobility.
Employee referral bonus program.
Employee Resource Groups (ERGs).
Annual fundraising and volunteer events to give back to communities.
Paid time off, floating holidays, time off to volunteer, and rollover.
Paid parental leave.
Medical, dental, vision, and 401(k) plans (with match).
Flexible spending account, mass transit, and dependent care plans available.
Health savings account, with an annual company contribution for plan participants.
Short‑term and long‑term disability, life insurance policies subsidized by the company.
Additional benefits include pet insurance, accident care, access to legal advice, and more.
Work Schedule: This position is full‑time and remote, Monday through Friday, from 8:00 AM to 5:00 PM, with an hour break. However, flexibility is available based on coverage needs.
Compensation Range: Salary Range:
$150,000 – $200,000
This position is eligible to earn annual incentives based on individual and company performance.
The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.
Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.
Connect with our Talent Acquisition team for more information about any questions you have or opportunities you’d like to pursue.
#J-18808-Ljbffr
In Summary: The Senior Machine Learning Engineer will be responsible for developing tech‑forward solutions to drive automation and informed decision-making within our business . The position is full-time and remote, Monday through Friday, from 8:00 AM to 5:00 PM, with an hour break . The salary range is $150,000 – $200,000 .
En Español: Reportajes a: Vicepresidente de Ciencia de Datos Reconocido por Gartner en su Guía Moderna del Mercado 4PL, Redwood Logistics está a la vanguardia de la innovación industrial. Nuestra tecnología de cadena de suministro de última generación se combina con la experiencia de nuestras mentes brillantes para empoderar la ejecución logística en toda América del Norte y México. Aprovechando una amplia gama de servicios, soluciones de red centradas en datos y una plataforma integrada sin problemas, hemos establecido nuestra importancia como un actor clave en el segmento de mercado medio dentro de la industria tecnológica de carga. Ya sea que usted esté comenzando su carrera o es un profesional consolidado buscando sus próximas oportunidades, Red Wood inspira a los equipos innovadores para proporcionar soluciones transformadoras a nuestros clientes. Aprovechará su conjunto de habilidades en estadísticas, aprendizaje automático y MLO para crear diferentes modelos e infraestructuras de empleados. Realizará un análisis de causas raíz para identificar los factores clave que influyen en el rendimiento operativo y la variación en los resultados. Cómo hace una diferencia cada día: Desarrollar e implementar modelos y simulaciones que aprovechen las estadísticas , ciencia de datos y tecnologías de aprendizaje mecánico dentro de nuestra correduría, que impacten las métricas y agilizan las operaciones de red. Identificar nuevas oportunidades para impulsar el impacto del negocio a través de la exploración de los datos y la colaboración con partes interesadas claves. Llevar a cabo un análisis root-cause para determinar los principales impulsores que afectan al desempeño operacional y la variedad en los resultado. desarrollar y optimizar las tuberías de MLOps por velocidad, fiabilidad y observabilidad. Colaborar con equipos interfuncionales, incluidos ingenieros disponibles, actores empresariales de producción de datos, y equipos de productos, recopilar entradas, comprender los procesos de desarrollo de Datos y recursos de trabajo. Esta experiencia se puede aplicar a los expertos en tecnología de computadora, conocimientos técnicos y aplicaciones electrónicas (Flexible). Sin embargo, la flexibilidad está disponible en función de las necesidades de cobertura. Rango de compensación: rango salarial: $150,000 $200,000 Esta posición es elegible para ganar incentivos anuales basados en el rendimiento individual y la empresa. El rango remunerado estimado refleja un rango anticipado para esta posición. La Compañía no discrimina en el reclutamiento, contratación, compensación, promoción, disciplina, despido o cualquier otro aspecto del empleo sobre la base de su raza real o percibida, color, credo, religión, sexo (incluyendo embarazo, parto y condiciones médicas relacionadas), orientación sexual, identidad de género, origen nacional, ascendencia, estatus de ciudadanía, edad, discapacidad, estado civil, servicio militar o estatus, información genética, registro de detenciones y condenas, historial crediticio u otra base protegida por la ley aplicable. Póngase en contacto con nuestro equipo de Adquisición de Talentos para obtener más información acerca de las preguntas que usted tenga o oportunidades que le gustaría seguir. #J-18808-Ljbffr
Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.
Leveraging a comprehensive range of services, data‑centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid‑market segment within the freight tech industry.
Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.
Purpose of Your Work: As a Senior Machine Learning Engineer working within our brokerage, you will be responsible for developing tech‑forward solutions to drive automation and informed decision‑making within our business. You will delve into unique and complex issues within the logistics space and partner with cross‑functional teams across business, technology, and product to ideate, develop, recommend, and implement solutions. You will leverage your skill set in statistics, machine learning, and MLOps to build various models and infrastructure, delivering results and communicating actionable insights.
How You Make a Difference Every Day: Develop and implement models and simulations that leverage statistics, data science, and machine‑learning technologies within our brokerage, that impact metrics, and streamline network operations.
Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders.
Conduct a root‑cause analysis to identify the key drivers influencing operational performance and variance in outcomes.
Develop and optimize MLOps pipelines for speed, reliability, and observability.
Collaborate with cross‑functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs, assumptions, and understand business processes along the way.
You’ve Got This? MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience.
3+ years of experience applying Machine Learning/MLOps to solve business problems.
Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production.
Hands‑on experience with open‑source languages and tooling for large‑scale ML (e.g., Ray, Flink, Feast).
Experience working with Data Warehouses and ETL pipelines (e.g., Redshift, Databricks, Snowflake, Airflow).
Strong Python and SQL skills.
Experience with Data Science and/or Machine Learning in supply chain, logistics, transportation, or a similar space is a plus.
Ability to communicate with technical and non‑technical stakeholders is a plus.
What We Offer: Access to experts and resources for your Learning & Development journey.
Opportunity for internal mobility.
Employee referral bonus program.
Employee Resource Groups (ERGs).
Annual fundraising and volunteer events to give back to communities.
Paid time off, floating holidays, time off to volunteer, and rollover.
Paid parental leave.
Medical, dental, vision, and 401(k) plans (with match).
Flexible spending account, mass transit, and dependent care plans available.
Health savings account, with an annual company contribution for plan participants.
Short‑term and long‑term disability, life insurance policies subsidized by the company.
Additional benefits include pet insurance, accident care, access to legal advice, and more.
Work Schedule: This position is full‑time and remote, Monday through Friday, from 8:00 AM to 5:00 PM, with an hour break. However, flexibility is available based on coverage needs.
Compensation Range: Salary Range:
$150,000 – $200,000
This position is eligible to earn annual incentives based on individual and company performance.
The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.
Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.
Connect with our Talent Acquisition team for more information about any questions you have or opportunities you’d like to pursue.
#J-18808-Ljbffr
In Summary: The Senior Machine Learning Engineer will be responsible for developing tech‑forward solutions to drive automation and informed decision-making within our business . The position is full-time and remote, Monday through Friday, from 8:00 AM to 5:00 PM, with an hour break . The salary range is $150,000 – $200,000 .
En Español: Reportajes a: Vicepresidente de Ciencia de Datos Reconocido por Gartner en su Guía Moderna del Mercado 4PL, Redwood Logistics está a la vanguardia de la innovación industrial. Nuestra tecnología de cadena de suministro de última generación se combina con la experiencia de nuestras mentes brillantes para empoderar la ejecución logística en toda América del Norte y México. Aprovechando una amplia gama de servicios, soluciones de red centradas en datos y una plataforma integrada sin problemas, hemos establecido nuestra importancia como un actor clave en el segmento de mercado medio dentro de la industria tecnológica de carga. Ya sea que usted esté comenzando su carrera o es un profesional consolidado buscando sus próximas oportunidades, Red Wood inspira a los equipos innovadores para proporcionar soluciones transformadoras a nuestros clientes. Aprovechará su conjunto de habilidades en estadísticas, aprendizaje automático y MLO para crear diferentes modelos e infraestructuras de empleados. Realizará un análisis de causas raíz para identificar los factores clave que influyen en el rendimiento operativo y la variación en los resultados. Cómo hace una diferencia cada día: Desarrollar e implementar modelos y simulaciones que aprovechen las estadísticas , ciencia de datos y tecnologías de aprendizaje mecánico dentro de nuestra correduría, que impacten las métricas y agilizan las operaciones de red. Identificar nuevas oportunidades para impulsar el impacto del negocio a través de la exploración de los datos y la colaboración con partes interesadas claves. Llevar a cabo un análisis root-cause para determinar los principales impulsores que afectan al desempeño operacional y la variedad en los resultado. desarrollar y optimizar las tuberías de MLOps por velocidad, fiabilidad y observabilidad. Colaborar con equipos interfuncionales, incluidos ingenieros disponibles, actores empresariales de producción de datos, y equipos de productos, recopilar entradas, comprender los procesos de desarrollo de Datos y recursos de trabajo. Esta experiencia se puede aplicar a los expertos en tecnología de computadora, conocimientos técnicos y aplicaciones electrónicas (Flexible). Sin embargo, la flexibilidad está disponible en función de las necesidades de cobertura. Rango de compensación: rango salarial: $150,000 $200,000 Esta posición es elegible para ganar incentivos anuales basados en el rendimiento individual y la empresa. El rango remunerado estimado refleja un rango anticipado para esta posición. La Compañía no discrimina en el reclutamiento, contratación, compensación, promoción, disciplina, despido o cualquier otro aspecto del empleo sobre la base de su raza real o percibida, color, credo, religión, sexo (incluyendo embarazo, parto y condiciones médicas relacionadas), orientación sexual, identidad de género, origen nacional, ascendencia, estatus de ciudadanía, edad, discapacidad, estado civil, servicio militar o estatus, información genética, registro de detenciones y condenas, historial crediticio u otra base protegida por la ley aplicable. Póngase en contacto con nuestro equipo de Adquisición de Talentos para obtener más información acerca de las preguntas que usted tenga o oportunidades que le gustaría seguir. #J-18808-Ljbffr