Deep Learning Jobs

The Lead Cloud AI Platforms Engineer role is a full-time position within Hilton's in-house Technology team, supporting the Cloud Engineering department across Memphis, McLean, Dallas, or remotely. The individual serves as a technical lead responsible for architecting AI and ML solutions using AWS services like Bedrock and SageMaker, while managing infrastructure automation through tools such as Terraform and Kubernetes. Key duties include guiding business teams on cloud patterns, ensuring security compliance, and maintaining hybrid cloud operations. The position offers the appeal of working for an award-winning global hospitality leader with a strong culture of employee wellbeing, including significant travel perks and comprehensive support programs. The role involves up to 10% travel and focuses on building cutting-edge technologies that revolutionize the guest experience.

The Lead Cloud AI Platforms Engineer role is a full-time position within Hilton's in-house Technology team, supporting the Cloud Engineering department. Based in Memphis, McLean, Dallas, or remotely, the individual acts as a technical expert leading a team to build and automate AI and machine learning infrastructure on AWS. Key responsibilities include developing LLM applications, managing cloud security and vulnerability management, and utilizing Infrastructure as Code to deploy workloads across hybrid cloud environments. The position appeals to candidates seeking to revolutionize the global hospitality industry while working in an award-winning culture that prioritizes employee wellbeing. The role offers significant growth opportunities, access to extensive travel perks, and a supportive environment recognized as one of the world's best workplaces.

This full-time Data Scientist role supports a large Federal agency by delivering advanced analytics to optimize contact center and field office operations. The position involves designing predictive models for workforce management, building robust data pipelines for complex datasets, and collaborating with stakeholders to present strategic insights to executive leadership. The role offers a hybrid work arrangement in Woodlawn, MD, within a supportive culture that prioritizes professional growth through education reimbursement and continuous development. Candidates will join a recognized, fast-growing company known for its collaborative environment, commitment to innovation, and focus on making a positive community impact.

This full-time Data Scientist Level 3 role supports a Department of Defense client in Suitland, Maryland, within a high-performing science team. The position focuses on applying advanced machine learning, deep learning, and natural language processing to build sophisticated data models. Key responsibilities include leading and mentoring junior data scientists, deploying projects on cloud platforms like AWS and Azure, and establishing metrics to evaluate AI performance while adhering to responsible AI policies. The role offers up to 10% local travel and requires a TS/SCI clearance. It is appealing due to CACI's culture of integrity and trust, which provides autonomy through flexible time off and robust learning resources. The position emphasizes continuous career growth and the opportunity to contribute to critical national missions alongside a collaborative, mission-driven environment.

This senior AI and data science role at Cargill leads the end-to-end development of artificial intelligence models to optimize supply chain decision-making. The position involves extracting and integrating complex data, performing advanced forecasting and optimization, and deploying machine learning solutions into core business workflows. Key responsibilities include ensuring model accuracy, establishing engineering patterns for generative AI, and communicating technical results to diverse stakeholders. The role appeals to candidates seeking to drive measurable business impact within a global organization committed to sustainable food and agricultural solutions. It offers the opportunity to work with expansive data sources while collaborating across cross-functional teams to operationalize data science. The position is based in Minnesota and supports a culture that prioritizes people and continuous learning.

This Researcher, Training role within OpenAI's architecture team focuses on developing large language models to advance artificial intelligence capabilities. The position involves designing and prototyping new model architectures, executing autonomous experiments to optimize performance, and debugging computational bottlenecks. Candidates will contribute to both training and inference infrastructure while working on flagship models. The role appeals to those motivated by safely deploying AI and pushing the boundaries of transformer efficiency. It is based in San Francisco with a hybrid work model requiring three days in the office per week, offering relocation assistance for new hires.

The Manager, Data Science – Agentic AI role leads the design and delivery of autonomous AI solutions within the Content Agentic Platform at LexisNexis Legal & Professional. The position involves managing technical teams to develop advanced agentic technologies, collaborating with cross-functional groups to align AI strategies with business goals, and mentoring junior data scientists on best practices. Key responsibilities include analyzing large datasets, establishing governance frameworks for model development, and translating complex technical concepts for stakeholders. This opportunity appeals to professionals seeking to shape ethical AI in the legal market while driving innovation in large language models and machine learning. The role offers a chance to work with a global team of technologists in a culture that prioritizes responsible AI principles and professional growth.

The Data Scientist II role at JPL focuses on developing artificial intelligence and autonomous systems for critical space missions. The position involves creating planning and scheduling algorithms for spacecraft, designing optimization systems for resource allocation, and building machine learning models to interpret remote sensing imagery. This opportunity appeals to candidates driven by scientific discovery and innovation within a collaborative, campus-like environment in Pasadena. The team works on high-impact projects that support real-time decision-making for various NASA missions. The role offers a flexible schedule and a comprehensive benefits package designed to support work-life balance and professional growth.

This senior applied scientist role within Amazon's Leo Satellite Build Intelligence team focuses on developing the scientific intelligence layer for satellite manufacturing. The position involves designing and deploying machine learning models, including LLM-based systems, to transform fragmented data into a unified, closed-loop system that drives production decisions. Key responsibilities include translating ambiguous manufacturing challenges into defined scientific problems, training models on large-scale noisy datasets, and building evaluation frameworks to ensure production readiness. The role appeals to candidates seeking to work at the intersection of AI and physical-world systems, offering the opportunity to influence scientific direction, mentor teams, and contribute to AI-native manufacturing processes. The position is based in California or Washington and requires U.S. citizenship or permanent residency due to export control regulations.

This full-time Software Engineer role within the Microsoft Teams AI Services team focuses on building high-scale, scalable back-end services that power Teams Copilot and advanced AI products. Key responsibilities include designing and developing systems using .NET Core, TypeScript, and Azure technologies, applying deep learning and natural language processing techniques to enhance conversational AI, and collaborating cross-functionally to drive user growth. The position offers the appeal of working at the forefront of generative AI innovation within a metrics-driven, live-site-first culture that prioritizes technical excellence and minimizes technical debt. Employees benefit from significant opportunities to influence product direction, develop system design expertise, and contribute to a mission of empowering every person and organization globally.

This full-time Data Scientist role is based at P&G's Cincinnati General Offices and focuses on solving complex business challenges using large-scale data and advanced AI. The position involves designing and developing scalable machine learning algorithms, including Generative and Agentic AI, while performing exploratory data analysis and feature engineering on massive datasets. Key responsibilities include collaborating with engineering teams to productionize models, mentoring colleagues as a technical coach, and establishing expertise in specific data science methodologies. The role appeals to candidates passionate about interdisciplinary innovation where computer science meets hard science, offering opportunities to drive transformative business outcomes. The position requires a Master's degree in a quantitative field and proficiency in Python and cloud environments, with a strong emphasis on continuous learning and technical leadership.

This Staff AI/ML Engineer - Product Owner role at Lockheed Martin Aeronautics focuses on leading the development of trusted artificial intelligence solutions for military and intelligence community customers. The position involves translating technical data insights into high-impact products, managing full product lifecycles from vision to scaling, and navigating complex security and compliance landscapes. Key responsibilities include building strategic roadmaps, partnering with cross-functional engineering and leadership teams, and managing multi-million-dollar product budgets. The role appeals to candidates seeking to apply their expertise in Python, machine learning, and agile methodologies to mission-critical challenges that enhance national security. It offers a hybrid work arrangement with part-time remote flexibility and a culture that emphasizes purposeful innovation, professional growth, and empowering employees to solve complex problems.

The Staff ML Validation Applied Scientist role resides within the Software Validation team of the Autonomous Vehicle organization, focusing on advancing machine learning research for vehicle verification. Key responsibilities include leading ML-centric validation strategies for perception and planning systems, building AI validation critics and agentic workflows to automate scenario review, and transforming research into scalable tools integrated into CI/CD pipelines. The position offers the appeal of working at the forefront of simulation-led validation to enhance safety and release velocity for autonomous fleets. The role emphasizes a collaborative culture that fosters innovation and technical leadership, requiring a blend of deep ML expertise and systems engineering to drive automation-first software development.

This UAS Software Engineer role focuses on designing and deploying AI autonomy solutions for unmanned aircraft systems serving Army and joint clients. The position involves developing machine learning models for perception and object detection, implementing reinforcement learning algorithms for navigation, and optimizing AI for edge compute platforms. Key responsibilities include sensor fusion, building simulation pipelines, and ensuring secure software integration. The role appeals to candidates seeking to work at the forefront of edge AI and computer vision while contributing to critical national defense missions. The position offers a people-first culture with flexible work arrangements, including remote, hybrid, or onsite options, and provides opportunities for professional growth through advanced technology exposure.

This full-time LLM Fine-Tuning Engineer role is based within Bright Vision Technologies' in-house engineering team, operating 100% remotely across the continental United States. The position focuses on designing and executing fine-tuning workflows for large language models using techniques such as RLHF, DPO, and parameter-efficient methods like LoRA. Key responsibilities include building scalable distributed training pipelines, curating high-quality datasets, implementing rigorous evaluation suites, and optimizing GPU cluster performance for production environments. The role appeals to candidates seeking a direct W2 engagement with long-term stability, offering significant career growth within a forward-thinking organization. It provides the opportunity to mentor junior engineers, collaborate across cross-functional teams, and translate cutting-edge research into reliable, scalable solutions without third-party constraints.

This full-time AI Performance Optimization Engineer role is based within Bright Vision Technologies' in-house engineering team and operates 100% remotely across the United States. The position focuses on maximizing throughput, minimizing latency, and reducing costs for large-scale neural network training and inference systems. Key responsibilities include profiling and optimizing end-to-end AI pipelines, implementing model compression strategies like quantization and pruning, and driving compiler-level improvements using tools such as Triton and XLA. The role appeals to candidates seeking deep technical impact in a collaborative environment where they can mentor junior engineers and shape production best practices. The company offers a direct W2 employment structure with long-term project alignment and a culture that values rigorous data-driven engineering and continuous innovation in AI systems.

The Learning Specialist role supports the Academic Support Center at The Chicago School, focusing on holistic academic services for pre-professional and medical students in STEM fields. Key responsibilities include conducting one-on-one coaching to identify learning gaps, developing individualized academic plans, and facilitating workshops on quantitative reasoning and study strategies. The position also involves supervising peer consultants and collaborating with faculty to enhance curriculum and student success initiatives. This opportunity appeals to candidates seeking to contribute to a mission-driven nonprofit university committed to equity and innovation in health sciences education. The role offers a hybrid work arrangement with primary on-site presence at the Chicago campus and some remote flexibility.

The Senior Paid Media Specialist role within Brown University's School of Professional Studies leads the strategy and execution of paid advertising for master's and executive education programs. Key responsibilities include managing multi-channel campaigns across platforms like Google and LinkedIn, overseeing budgets, and translating performance data into actionable insights through KPI-driven dashboards. The position offers the appeal of working within a prestigious research university known for its student-centered mission and flexible work-life balance. This hybrid role combines remote flexibility with on-site collaboration, providing opportunities for professional growth in a supportive environment.

The Associate Director, in vitro Pharmacology role leads target validation efforts for Deep Genomics' RNA editing therapeutic pipeline within a multidisciplinary AI-driven drug discovery team. Key responsibilities include designing and executing liver biology studies, serving as the senior subject matter expert for in vitro models, and collaborating with Target Identification to translate AI nominations into go/no-go decisions. This leadership position involves mentoring scientists and presenting data-driven strategies to advance the therapeutic portfolio. The role is appealing due to its position at the frontier of computational biology and genetic medicine, offering a collaborative culture with flexible work arrangements, significant growth opportunities, and locations in Toronto and Cambridge, MA.

The Manager, Learning & Development, Leadership Development & Coaching role is based in Chicago and serves as a key member of the Learning and Development team at The Aspen Group. This position focuses on designing, implementing, and managing leadership development and coaching solutions across the organization's diverse healthcare brands. Key responsibilities include collaborating with cross-functional partners to identify training needs, creating blended learning programs, facilitating sessions, and using data to measure program impact and drive continuous improvement. The role appeals to candidates seeking to shape a positive culture and build leadership capability within a large, fast-paced organization. The position offers the opportunity to work with innovative instructional design tools and manage external vendors while contributing to a mission of improving healthcare delivery.

The Federal Learning Consultant role supports training delivery and go-live activities for federal healthcare clients, requiring U.S. citizenship and the ability to obtain security clearance. Key responsibilities include localizing training strategies to maximize user adoption, managing stakeholder relationships, and evaluating program effectiveness using performance indicators. The position demands proficiency in Microsoft Office, adult learning principles, and experience with healthcare IT or federal environments. This opportunity appeals to professionals seeking to work with Oracle's AI and cloud solutions while driving innovation in the VA domain. The role offers a dynamic environment with significant travel up to 75% and irregular hours, ideal for those comfortable with high-impact service line processes and continuous professional development.

The Manager for Experiential Learning role operates within the Career Connections Center at the University of Florida to create pathways for curricular and co-curricular student experiences. Key responsibilities include developing partnerships with employers and industry leaders, coaching students on career readiness through immersive programs, and collaborating with faculty to integrate career development into academic curricula. The position also involves managing reporting structures and promoting best practices across the university community. This opportunity appeals to professionals seeking to drive student success in a collaborative academic environment while offering the chance to shape experiential learning strategies on a major public campus.

The Talent Development Consulting Manager role within the Talent and Organization team focuses on co-creating future-ready workforces for diverse clients. Key responsibilities include developing holistic talent transformation strategies, integrating AI and emerging technologies into human-centric solutions, and driving change initiatives to sustain workforce innovations. The position also involves shaping skilling approaches and supporting business development efforts. This opportunity appeals to experienced strategists seeking to lead workforce evolution in a collaborative environment that values digital fluency and forward-thinking leadership. The role requires travel as needed and offers a dynamic setting to influence talent strategy, learning, and employee experience across industries.

This mid-level Data Scientist role at Booz Allen focuses on leveraging machine learning, artificial intelligence, and IoT to solve complex global challenges across private and public sectors. The position involves analyzing structured and unstructured data to build predictive models, develop algorithms, and create visualizations that drive informed client decisions. Key responsibilities include leading solution development for diverse programs, collaborating directly with clients to define analytical needs, and translating disparate data points into actionable insights. The role offers the appeal of meaningful work with a mission to use data science for good, supported by a people-first culture that values collaboration and professional growth. While the position allows for remote or hybrid work arrangements, it requires up to 25% travel and the ability to obtain a Secret clearance.

The Data Scientist II role focuses on Generative AI within a pioneering team dedicated to transforming raw data into actionable intelligence and scalable agentic systems. Key responsibilities include designing and implementing Gen AI-powered agents to streamline workflows, optimizing internal evaluation frameworks for reliable model performance, and leading experiments to balance efficiency with cost. The position offers the opportunity to mentor junior staff, collaborate across engineering and product functions, and drive cultural adoption of AI tools. This role is appealing for its focus on cutting-edge technology, the chance to shape organizational innovation, and a supportive environment that values continuous learning and advanced technical growth.