Overview We are seeking a skilled Operation Research Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. You will leverage your experience with operations research, optimization techniques, and dynamic programming, as well as developing and applying simulation models. You must also be comfortable taking ideas from theory to deployment. What you will be doing <ul><li>Design and implement mathematical models and algorithms to optimize processes, resource allocation, and decision-making.</li></ul><ul><li>Utilize optimization techniques, such as linear programming, integer programming, and dynamic programming.</li></ul><ul><li>Analyze and preprocess large datasets to inform models and derive actionable insights.</li></ul><ul><li>Develop and run simulations to validate models and assess performance under different scenarios.</li></ul><ul><li>Build tools to automate data collection and analysis.</li></ul><ul><li>Collaborate with cross-functional teams to identify and prioritize activities that address key milestones and requirements.</li></ul> What you will need <ul><li>US Citizenship, Permanent Resident (Green) Card</li></ul><ul><li>Bachelor's, Master's degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.</li></ul><ul><li>2-5 years of experience in software development and operations research or similar role.</li></ul><ul><li>Experience developing and implementing large scale optimization models using linear programming, mixed integer programming, and heuristics.</li></ul><ul><li>Proficiency with Python and familiarity with Rust, ORTools, and data science libraries such as Numpy and Pandas.</li></ul><ul><li>Familiarity with machine learning frameworks, including TensorFlow, PyTorch, and Keras.</li></ul><ul><li>Proficiency in Jupyter Notebook for development, testing, and communicating results.</li></ul><ul><li>Proficiency with Linux development environment.</li></ul><ul><li>Strong analytical and problem-solving abilities, with a solid understanding of statistical analysis and data modeling techniques.</li></ul> Perks One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer: <ul><li>Flexible Time-Off policy and company holidays</li></ul><ul><li>Cost-effective health care, dental, and vision with company contributions</li></ul><ul><li>401k matching plan with company match</li></ul><ul><li>Life insurance</li></ul><ul><li>Short-term and long-term disability</li></ul> Salary $130,000 - $170,000 We value job-related knowledge and skills, education, and experience. That's why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you. Location and Company Information Hybrid in Houston Cognitive Space is a Texas-based, venture-backed software company specializing in AI-driven solutions for space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, which has been successfully deployed in commercial and defense applications. We are committed to delivering innovative, resilient, and adaptive network management solutions that meet the demanding requirements of our commercial and government customers. We value job-related knowledge and skills, education, and experience. That's why we will determine your actual level and base salary on a case-by-case basis, taking into account these factors. We believe this will ensure a fair and competitive compensation for you. Cogntive Space Inc. is an equal opportunity employer. Cogntive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.

<h3>Job Description</h3><div>Job Description<div>Overview: We are seeking a skilled Operation Research Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. You will leverage your experience with operations research, optimization techniques, and dynamic programming, as well as developing and applying simulation models. You must also be comfortable taking ideas from theory to deployment. Location:Houston - hybrid in the office 2-3 times a weekWhat you will be doing: <ul><li>Design and implement mathematical models and algorithms to optimize processes, resource allocation, and decision-making. </li><li>Utilize optimization techniques, such as linear programming, integer programming, and dynamic programming. </li><li>Analyze and preprocess large datasets to inform models and derive actionable insights. </li><li>Develop and run simulations to validate models and assess performance under different scenarios. </li><li>Build tools to automate data collection and analysis. </li><li>Collaborate with cross-functional teams to identify and prioritize activities that address key milestones and requirements. </li></ul>What you will need: <ul><li>US Citizenship, Permanent Resident (Green) Card </li><li>Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc. </li><li>0-2 years of experience in software development and operations research or similar role. </li><li>Experience developing and implementing large scale optimization models using linear programming, mixed integer programming, and heuristics. </li><li>Proficiency with Python and familiarity with Rust, ORTools, and data science libraries such as Numpy and Pandas. </li><li>Familiarity with OR-Tools and other optimization libraries such as Gurobi and CPLEX. </li><li>Familiarity with machine learning frameworks, including TensorFlow, PyTorch, and Keras. </li><li>Proficiency in Jupyter Notebook for development, testing, and communicating results. </li><li>Proficiency with Linux development environment. </li><li>Strong analytical and problem-solving abilities, with a solid understanding of statistical analysis and data modeling techniques. </li></ul>Benefits: One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer: <ul><li>Flexible Time-Off policy and company holidays </li><li>Cost-effective health care, dental, and vision with company contributions </li><li>401k matching plan with company match </li><li>Life insurance </li><li>Short-term and long-term disability </li></ul>Salary:  $100,000 - $140,000 We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.  Company Information: Cognitive Space is a Texas-based, venture-backed software company specializing in AI-driven solutions for space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, which has been successfully deployed in commercial and defense applications. We are committed to delivering innovative, resilient, and adaptive network management solutions that meet the demanding requirements of our commercial and government customers. Cogntive Space Inc. is an equal opportunity employer. Cogntive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.Powered by JazzHR5PQpxPhXW8</div></div>

<h3>Job Description</h3><div>Job Description<div>Overview We are seeking a skilled Operation Research Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. You will leverage your experience with operations research, optimization techniques, and dynamic programming, as well as developing and applying simulation models. You must also be comfortable taking ideas from theory to deployment. LocationHouston - hybrid in the office 2-3 times a weekWhat you will be doing: <ul><li>Design and implement mathematical models and algorithms to optimize processes, resource allocation, and decision-making. </li><li>Utilize optimization techniques, such as linear programming, integer programming, and dynamic programming. </li><li>Analyze and preprocess large datasets to inform models and derive actionable insights. </li><li>Develop and run simulations to validate models and assess performance under different scenarios. </li><li>Build tools to automate data collection and analysis. </li><li>Collaborate with cross-functional teams to identify and prioritize activities that address key milestones and requirements. </li></ul>What you will need: <ul><li>US Citizenship, Permanent Resident (Green) Card </li><li>Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc. </li><li>2-5 years of experience in software development and operations research or similar role. </li><li>Experience developing and implementing large scale optimization models using linear programming, mixed integer programming, and heuristics. </li><li>Proficiency with Python and familiarity with Rust, ORTools, and data science libraries such as Numpy and Pandas. </li><li>Familiarity with OR-Tools and other optimization libraries such as Gurobi and CPLEX.</li><li>Familiarity with machine learning frameworks, including TensorFlow, PyTorch, and Keras. </li><li>Proficiency in Jupyter Notebook for development, testing, and communicating results. </li><li>Proficiency with Linux development environment. </li><li>Strong analytical and problem-solving abilities, with a solid understanding of statistical analysis and data modeling techniques. </li></ul>Benefits: One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer: <ul><li>Flexible Time-Off policy and company holidays </li><li>Cost-effective health care, dental, and vision with company contributions </li><li>401k matching plan with company match </li><li>Life insurance </li><li>Short-term and long-term disability </li></ul>Salary: $130,000 - $170,000 We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.  Company Information: Cognitive Space is a Texas-based, venture-backed software company specializing in AI-driven solutions for space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, which has been successfully deployed in commercial and defense applications. We are committed to delivering innovative, resilient, and adaptive network management solutions that meet the demanding requirements of our commercial and government customers. Cogntive Space Inc. is an equal opportunity employer. Cogntive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.Powered by JazzHRCuoNxLtx9q</div></div>

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accentures Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are : As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions. The Work : Development & Implementation: + Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements. + Translate research prototypes into production-ready code and scalable solutions. + Optimize algorithms and models for performance, efficiency, and reliability in real-world applications. Deployment & Integration: + Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows. + Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges. + Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness. Collaboration & Communication: + Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives . + Provide technical guidance and support to team members on AI development and deployment issues. + Communicate complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: + Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models. + Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement. + Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies. Travel may be required for this role. ?The amount of travel will vary from 0 to 100% depending on business need and client requirements. This role requires working onsite at our G enerative AI Center of Excellence located in Mountain View, CA. Here's what you need + Bachelor's degree ( or equivalent minimum 12 years work experience , or minimum 6 years' work experience with Associates degree ) in Computer Science, Computer Engineering, or related backgrounds + 3 years of experience with programming languages such as Python, C++, or Java. + 3 years of experience with machine learning algorithms and tools ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have + 5 years of experience with programming languages such as Python, C++, or Java. + 5 years of experience with machine learning frameworks ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing. + 2 years of experience in conducting research in machine learning, natural language processing or computer vision. + Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related field s Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location Annual Salary Range California $93,400 to $258,500 Colorado $93,400 to $223,300 District of Columbia $99,500 to $237,800 New York $86,500 to $258,500 Maryland $86,500 to $206,800 Washington $99,500 to $237,800 #LI-NA-FY25 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

OverviewWe are seeking a skilled Operation Research Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. You will leverage your experience with operations research, optimization techniques, and dynamic programming, as well as developing and applying simulation models. You must also be comfortable taking ideas from theory to deployment.What you will be doing<ol><li>Design and implement mathematical models and algorithms to optimize processes, resource allocation, and decision-making.</li><li>Utilize optimization techniques, such as linear programming, integer programming, and dynamic programming.</li><li>Analyze and preprocess large datasets to inform models and derive actionable insights.</li><li>Develop and run simulations to validate models and assess performance under different scenarios.</li><li>Build tools to automate data collection and analysis.</li><li>Collaborate with cross-functional teams to identify and prioritize activities that address key milestones and requirements.</li></ol>What you will need<ol><li>US Citizenship, Permanent Resident (Green) Card</li><li>Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.</li><li>2-5 years of experience in software development and operations research or similar role.</li><li>Experience developing and implementing large scale optimization models using linear programming, mixed integer programming, and heuristics.</li><li>Proficiency with Python and familiarity with Rust, ORTools, and data science libraries such as Numpy and Pandas.</li><li>Familiarity with machine learning frameworks, including TensorFlow, PyTorch, and Keras.</li><li>Proficiency in Jupyter Notebook for development, testing, and communicating results.</li><li>Proficiency with Linux development environment.</li><li>Strong analytical and problem-solving abilities, with a solid understanding of statistical analysis and data modeling techniques.</li></ol>PerksOne of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer:<ol><li>Flexible Time-Off policy and company holidays</li><li>Cost-effective health care, dental, and vision with company contributions</li><li>401k matching plan with company match</li><li>Life insurance</li><li>Short-term and long-term disability</li></ol>Salary$130,000 - $170,000We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.Location and Company InformationHybrid in HoustonCognitive Space is a Texas-based, venture-backed software company specializing in AI-driven solutions for space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, which has been successfully deployed in commercial and defense applications. We are committed to delivering innovative, resilient, and adaptive network management solutions that meet the demanding requirements of our commercial and government customers.Cognitive Space Inc. is an equal opportunity employer. Cognitive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.
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OverviewWe are seeking a skilled Operation Research Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. You will leverage your experience with operations research, optimization techniques, and dynamic programming, as well as developing and applying simulation models. You must also be comfortable taking ideas from theory to deployment.What you will be doing<ol><li>Design and implement mathematical models and algorithms to optimize processes, resource allocation, and decision-making.</li><li>Utilize optimization techniques, such as linear programming, integer programming, and dynamic programming.</li><li>Analyze and preprocess large datasets to inform models and derive actionable insights.</li><li>Develop and run simulations to validate models and assess performance under different scenarios.</li><li>Build tools to automate data collection and analysis.</li><li>Collaborate with cross-functional teams to identify and prioritize activities that address key milestones and requirements.</li></ol>What you will need<ol><li>US Citizenship, Permanent Resident (Green) Card</li><li>Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.</li><li>0-2 years of experience in software development and operations research or similar role.</li><li>Experience developing and implementing large scale optimization models using linear programming, mixed integer programming, and heuristics.</li><li>Proficiency with Python and familiarity with Rust, ORTools, and data science libraries such as Numpy and Pandas.</li><li>Familiarity with machine learning frameworks, including TensorFlow, PyTorch, and Keras.</li><li>Proficiency in Jupyter Notebook for development, testing, and communicating results.</li><li>Proficiency with Linux development environment.</li><li>Strong analytical and problem-solving abilities, with a solid understanding of statistical analysis and data modeling techniques.</li></ol>PerksOne of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer:<ol><li>Flexible Time-Off policy and company holidays</li><li>Cost-effective health care, dental, and vision with company contributions</li><li>401k matching plan with company match</li><li>Life insurance</li><li>Short-term and long-term disability</li></ol>Salary$100,000 - $140,000We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.Location and Company InformationHybrid in HoustonCognitive Space is a Texas-based, venture-backed software company specializing in AI-driven solutions for space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, which has been successfully deployed in commercial and defense applications. We are committed to delivering innovative, resilient, and adaptive network management solutions that meet the demanding requirements of our commercial and government customers.Cognitive Space Inc. is an equal opportunity employer. Cognitive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.
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Research Engineer Jobs in Houston, TX

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Entry Level Operations Research Engineer
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Research Engineer Jobs in Houston, TX

Operations Research EngineerDecember 19, 2024

Entry Level Operations Research EngineerDecember 16, 2024

Operations Research EngineerDecember 16, 2024

Advanced Ai Research EngineerDecember 8, 2024

Operations Research EngineerDecember 8, 2024

Entry Level Operations Research EngineerDecember 8, 2024

Entry Level Operations Research EngineerNovember 25, 2024