44,333 AI Programming jobs in the United States
Data Science Software Engineer
Posted 13 days ago
Job Viewed
Job Description
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
The Data Science Software Engineer role in the Customer Engineering team is an exciting opportunity to work at the intersection of AI/ML engineering, solution development, and go-to-market strategy. We're looking for a data science software engineer who is ambitious and eager to learn, grow and challenge themselves with guidance from a mentor who thrives in a fast-paced, ambiguous environment who rolls up their sleeves to solve problems with code, enjoys shipping high quality software loved by users, and is eager to grow their skillset in AI/ML.
Your work will focus on building reusable, production-ready AI solutions that accelerate customer adoption of the DataRobot platform. This means:
+ Developing scalable, productionizable AI assets that customers can confidently integrate into their workflows.
+ Ensuring AI solutions are resilient, maintainable, and easy to deploy, minimizing operational friction.
+ Engaging with early-adopter customers and internal teams to refine and validate solutions.
+ Collaborating with product, sales, marketing, and enablement teams to drive solution awareness and usage at scale.
+ Ship fast, learn fast, and help customers see value fast
Beyond developing and refining AI solutions, you will also help prioritize future investments by identifying high-impact opportunities and gathering customer feedback to refine existing assets.
The Data Science Software Engineer role is an exciting opportunity to work at the intersection of AI/ML engineering, solution development, and backend infrastructure. We are looking for a highly adaptable engineer who thrives in a dynamic environment, has had some exposure to data science workflows, and is interested in learning more about data science and machine learning. You will bridge the gap between our data science team and production systems, focusing on building the backend infrastructure that supports our data science initiatives within SAP environments. If you thrive in a fast-paced, highly autonomous environment, enjoy solving complex problems, and want to build AI solutions that truly scale, we'd love to hear from you!
**Key Responsibilities:**
+ Develop and maintain scalable, production-ready backend systems that support our data scientists' AI/ML workflows
+ Build reusable infrastructure components that accelerate the integration of AI solutions into SAP environments
+ Design and implement data pipelines that connect various data sources to our ML models
+ Ensure AI solutions are resilient, maintainable, and easy to deploy, minimizing operational friction
+ Collaborate with data scientists to understand their infrastructure needs and translate them into technical solutions
+ Work on engineering challenges during high-intensity project phases, balanced with innovation and improvement work during quieter periods
+ Implement and refine engineering best practices to improve performance, scalability, and maintainability of our AI/ML solutions
+ Support and troubleshoot production systems to ensure reliability and optimal performance
+ Design and implement CI/CD pipelines for automated testing, building, and deployment of ML models
+ Containerize applications and manage infrastructure as code to ensure consistent environments
+ Monitor system performance and implement logging strategies for ML applications
**What this Role is Not:**
+ A SWAT demo team-while you will be customer-facing, this role is about building reusable solutions, not one-off demos.
+ A technical marketing role-you'll collaborate with marketing but won't be driving content strategy.
+ A pure research role-we need hands-on builders who can ship working solutions that make an impact.
**Knowledge, Skills and Abilities** **:**
+ 4+ years of experience with python for backend services and/or data science workflows
+ Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability and scalability
+ Experience with API development, preferably using FastAPI, Flask, or similar frameworks
+ Experience with containerization technologies (Docker) and orchestration (Kubernetes)
+ Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Pulumi)
+ Experience implementing CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
+ Understanding of data engineering principles, including ETL processes and data pipeline development
+ Ability to work in an environment with varying workloads - comfortable with both focused project sprints and periods of more exploratory work
+ Highly coachable and eager to learn-we prioritize raw ability, curiosity, and work ethic over specific years of experience.
+ Strong problem-solving skills and the ability to adapt to shifting priorities-we're looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment.
**Nice to Have:**
+ Experience with cloud platforms (AWS, Azure, GCP) for AI/ML infrastructure
+ Familiarity with SAP integration technologies
+ Knowledge of machine learning operations (MLOps) practices
+ Familiarity with SAP environments or enterprise system integrations is a plus
+ Understanding of version control for data and models
+ Exposure to generative AI solutions like RAG, finetuning, etc.
**Why Join Us?**
+ Hands-on, high-impact work-you won't just be running experiments; you'll be building real, production-ready AI solutions.
+ Small, elite team with direct influence-you'll work closely with product, engineering, and go-to-market teams to shape AI adoption strategies.
+ Fast learning environment-we invest in our people, providing mentorship and opportunities to grow into senior roles quickly.
+ Career advancement opportunities-whether you want to specialize in data science, transition into engineering, or take on leadership, we'll help you get there.
+ Work on cutting-edge AI solutions that have real-world impact and are used by enterprises worldwide.
This is a unique opportunity to build AI applications, ensuring that data scientists and developers can seamlessly create, customize, and deploy AI solutions at scale. If you're passionate about impacting the future of AI adoption, we'd love to hear from you.
The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
**DataRobot Operating Principles:**
+ Wow Our Customers
+ Set High Standards
+ Be Better Than Yesterday
+ Be Rigorous
+ Assume Positive Intent
+ Have the Tough Conversations
+ Be Better Together
+ Debate, Decide, Commit
+ Deliver Results
+ Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy ( .
DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website ( and connect with us on LinkedIn ( .
**_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._**
**_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._**
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Senior Software Engineer Data Science
Posted 6 days ago
Job Viewed
Job Description
SOUNDHOUND INC. TURNS SOUND INTO UNDERSTANDING AND ACTIONABLE MEANING. We believe in enabling humans to interact with the things around them in the same way we interact with each other: by speaking naturally to mobile phones, cars, TVs, music speakers, coffee machines, and every other part of the emerging 'connected' world. Our latest product, Hound, leverages our Speech-to-Meaning technology to showcase a ground-breaking smartphone experience. Our SoundHound product applies our technology to music, enabling people to discover, explore, and share the music around them, and even find the name of that song stuck in their heads by singing or humming. And through the Houndify platform, we empower developers to be part of the speech-to-meaning revolution. Mission: Houndify everything. ABOUT THE ROLE: We have multiple positions open at different senior levels. At SoundHound, we view our data and our engineering team as two of our biggest assets. This role lives at the intersection of the two. We have a huge amount of data from hundreds of millions of users of: SoundHound: music app featuring search, discovery, and play with LiveLyricsHound: newly released app featuring unprecedented speech recognition and natural language understandingHoundify: platform enabling developers to add voice enabled conversational interface to anything We aspire to leverage this data to make informed decisions to steer product development, marketing and user engagement. We have only scratched the surface of the kind of advanced analytics and insight generation we'd like to do! This is an opportunity to work on the most challenging data science problems, build large scale distributed machine learning systems from the ground up, and use cutting edge technologies like Spark, Kafka, and Tensorflow. RESPONSIBILITIES: Design and develop high-performance, data-driven systems in a distributed infrastructureBuild machine learning models for analysis of queries using NLP, Deep LearningDevelop scalable components for query intent classification, entity detection, dialog understanding, slot filling and domain detectionLeverage massive datasets for modeling, recommendations, ad targeting and insight generationBuild and maintain knowledge graph of content from diverse data sources, and perform data mining to serve high volume of requests REQUIREMENTS: Background and passion for machine learning, AI, and/or statistical modelingExperience in one or more of the following areas: classification systems, ranking systems, recommender systems, predictive modeling, and/or artificial intelligenceStrong coding experience preferably in Java, Scala, or Python.A desire to bring data-driven decision-making and analytics to improve our productsAbility to handle multiple competing priorities in a fast-paced environmentMS/PhD in Computer Science or equivalent NICE TO HAVES: Prior experience with Natural Language ProcessingUnderstanding of deep learning algorithms and workflows.Experience with Deep Learning / Neural Network frameworks such as Caffe, Tensorflow, PyTorch, etc.Experience with analytical tools supporting data analysis (eg. Tableau) HOW TO APPLY: Please include a resume and a cover letter letting us know why you'd like to work at SoundHound in particular! #J-18808-Ljbffr
Data Science
Posted 2 days ago
Job Viewed
Job Description
Duration-Contract
Location- Urbana, MD
JD
•Minimum 7 years of IT Experience•Minimum 2 years of experience in developing AI enabled solutions•Expert level competency in Python•Hands-on experience developing and deploying Machine Learning solutions•Good knowledge and experience in developing GenAI embedded solutions•Hands-on experience with AI cloud services is an added advantage Key Responsibilities:•Machine Learning based model building, validation, deployment, and monitoring•Developing MLOps solution for continuous development , deployment, and monitoring of solutions•Developing GenAI embedded solutions across various use cases•Rapid experimentation of GenAI use cases using Azure cloud AI and data services•Development and deployment of GenAI embedded solutions using open source solutions
Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
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Data Science
Posted 4 days ago
Job Viewed
Job Description
Data Analyst Role at ROBOTICS TECHNOLOGIES LLC Join a data-driven organization focused on data analysis, profiling, and visualization. Analyze critical data to generate insights Hands-on experience with R and Python Proficiency in visualization tools like Tableau Identify data patterns and provide actionable insights Develop and implement statistical models for data analysis Experience in marketing and customer analytics Understanding of various data domains within the retail industry Ability to comprehend business processes and communicate effectively with stakeholders ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer committed to diversity and inclusion, including female, minority, disability, and veteran candidates. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, or immigration status. #J-18808-Ljbffr
Data Science
Posted 7 days ago
Job Viewed
Job Description
Job Responsibilities Define creative solutions to business problems using advanced algorithms and models. Build and manage a high performing team. Use machine learning and predictive modeling to develop data driven solutions that drive substantial business value to the external consumers and internal stakeholders/partners. Work to instill data best practices around the organization. Help with process, methods, and education. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. #J-18808-Ljbffr
Data Science
Posted 7 days ago
Job Viewed
Job Description
Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity! Our client is hiring a Director of Data Science for the San Francisco office to lead the team and collaborate with business leadership. The role involves demonstrating and testing the value of algorithmic products used both internally and externally. The ideal candidate will be a proven leader with strong analysis and programming skills, and an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams across all business models, ensuring the proper data sources are utilized. Job Responsibilities: Lead and serve as a knowledge resource for data scientists, supporting and delivering AI/ML-based products. Collaborate with clients to test optimization strategies. Develop innovative solutions and proofs of concept with clients. Work with R&D and Product Engineering teams to build AI/ML products. Promote data-driven methodology and practices within the company. Engage with C-level leadership as a trusted advisor to influence data-driven decision making, maximizing the impact of Data Science outputs. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer, inclusive of female, minority, disability, and veteran applicants. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected class. The company complies with applicable labor and employment laws and does not require U.S. citizenship or lawful permanent residency unless legally necessary. #J-18808-Ljbffr
Data Science
Posted 12 days ago
Job Viewed
Job Description
Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity! The ideal candidate will be a proven leader, with deep analysis and programming skills and have an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams for all business models, statistics, and ensure the proper information required is provided from different data sources. Job Responsibilities: Be a leader and source of knowledge for the data scientist, to support and deliver AI/ML based products. Work with clients to test optimization strategies. Work with clients to develop innovative solutions and proofs of concept. Work with R&D and Product Engineering teams to build AI/ML based products. Foster Data driven methodology and practice within the company. Integrate deeply with C-level business leadership as a trusted and influential contributor to data-driven decision making, ensuring maximum impact of Data Science outputs. AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). #J-18808-Ljbffr
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ML/Data Science Software Engineer (Onsite)
Posted 1 day ago
Job Viewed
Job Description
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.
In the ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of what's possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office.
What You Will Do
- Design, develop, and maintain advanced software applications for our Satellite Ground Systems.
- Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions.
- Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems.
- Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines.
- Collaborate with cross-functional teams to define software requirements and specifications.
- Work with previously written code and make modifications as necessary.
- Ensure software performance, reliability, and scalability.
- Participate in software design reviews, code reviews, and system integration activities.
- Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor.
- Follow established software processes and procedures, development, documentation and maintenance of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts.
Qualifications You Must Have
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and two (2) years of Software Engineering experience.
- Experience in object-oriented software design and development using Java or Python in a Linux environment.
- Experience with unit testing tools (e.g., JUnit).
- Experience in Machine Learning and Data Science.
- Experience working with large datasets and performing data analysis.
Qualifications We Prefer
- Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
- Security+ certification.
- Experience with Git, Jenkins, Docker, Kubernetes.
- Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket).
- Experience with cloud computing platform (e.g. AWS or Azure).
- Experience with satellite communication systems and protocols is highly preferred.
- Familiarity with secure coding practices, especially in a defense or aerospace setting.
What We Offer
- Whether you're just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.
- Relocation Eligibility - Relocation assistance is available.
Learn More & Apply Now!
- Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
- This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:
- State College, PA:
- We Are RTX:
The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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ML/Data Science Software Engineer (Onsite)
Posted 2 days ago
Job Viewed
Job Description
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.
In the ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of what's possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office.
What You Will Do:
- Design, develop, and maintain advanced software applications for our Satellite Ground Systems.
- Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions.
- Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems.
- Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines.
- Collaborate with cross-functional teams to define software requirements and specifications.
- Work with previously written code and make modifications as necessary.
- Ensure software performance, reliability, and scalability.
- Participate in software design reviews, code reviews, and system integration activities.
- Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor.
- Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts.
Qualifications You Must Have:
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and two (2) years of Software Engineering experience.
- Experience in object-oriented software design and development using Java or Python in a Linux environment.
- Experience with unit testing tools (e.g., JUnit).
- Experience in Machine Learning and Data Science.
- Experience working with large datasets and performing data analysis.
Qualifications We Prefer:
- Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
- Security+ certification.
- Experience with Git, Jenkins, Docker, Kubernetes.
- Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket).
- Experience with cloud computing platform (e.g. AWS or Azure).
- Experience with satellite communication systems and protocols is highly preferred.
- Familiarity with secure coding practices, especially in a defense or aerospace setting.
What We Offer:
- Whether you're just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.
- Relocation Eligibility - Relocation assistance is available.
Learn More & Apply Now!
- Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
- This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA) , an agency of the Department of Defense, handles and adjudicates the security clearance process.
- State College, PA:
- We Are RTX
The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
ML/Data Science Software Engineer (Onsite)
Posted 4 days ago
Job Viewed
Job Description
Date Posted:2025-07-14 Country:United States of America. Location:PA 602: 302 Science Park Road, Bldg 5 C 302 Science Park Road Building 5 C, State College, PA, 16803-2214 USA - Position Role Type:Onsite. U.S. Citizen, U.S. Person, or Immigration S Software Engineer, Data Science, Engineer, Software, Science, Security, Manufacturing