• Participating in the design and development of AI solutions for challenging projects. • Building production level ML/AI solutions, with solid software engineering and ML/AI principles. • MLOps Automated deployment and monitoring (models and infrastructure). • Data analysis (data cleaning, variable transformation, etc.). • Developing and training ML models. • Putting AI models into production. • This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.

• Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems. • Build and manage efficient pipelines for rapid experimentation and hypothesis testing. • Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations. • Deploy models into production environments using CI/CD practices and model serving frameworks. • Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability. • Apply modern techniques to optimize models for inference speed, memory footprint, and cost. • Lead efforts in dataset creation, augmentation, and curation to build high-quality, robust training data. • Stay current with and apply state-of-the-art techniques, especially relating to Large Language Models (LLMs).

Remote Work: Yes Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about – locally and globally. Come make an impact every day at Zebra. The Sr Sales Engineer takes the technical lead in the pre-sales process and works with sales account managers to sell Fixed Industrial Scanners and Machine Vision systems for assigned partners, end-user account(s) or territory. Develops and executes sales strategy with account Manager for assigned account(s) or territory with manager's input; develops strong technical relationships with key customer contacts and leverages to Zebra's advantage; creates and delivers high impact sales presentations and product training. Develops and executes sales strategies for machine vision products, services and solutions with minimal input from manager. As required, leverages relationships with other business units and/or external partners to deliver solution; Develops strong relationships with key decision makers and influencers; Initiates and leads customer presentations and value proposition creation. This remote role must be based near/around Chicago (IL) or Minneapolis (MN), within a reasonable driving distance to a major airport. 50% travel to be expected. Please be sure that resumes submitted clearly indicate your machine vision experience/exposure. Responsibilities: - Knowledge/Expertise - Technical Skills - Uses advanced domain/solutions knowledge to competitive advantage - Knowledge of Zebra - Provides input into development of business products/services; understands and follows multi-business protocols - Sales Skills - Develops and adapts advanced sales strategies to unique customer needs; creates customer partnerships - Managerial Skills - Often leads others in their development; provides input to policies and practices - Business Acumen - Develops business solutions and directly addresses financial issues resulting in profitable revenue growth for Zebra; able to coordinate and present complete, complex solutions that meet customer needs and beat competition - Market/customer Knowledge - Acts as a resource to customers based on intimate knowledge of relevant industries and needs - Solution Complexity/Strategic Thinking - Nature of Problems Solved - Solves complex problems which may require unique solutions (e.g unique applications of existing technologies) that are used across the business in similar situations - Role in Addressing Problems - Leads problem resolution, identifies appropriate resources, develops contingency plans - Complexity of Solutions - Typically medium to high complexity; has several complex projects, all which require unique coordination of technical resources; multi-country issues may be involved - Freedom to Act - Level of Guidance - Demonstrates wide latitude for decisive action which could impact business initiatives/programs; exercises independent judgment within broadly defined practices/policies in selecting approach and technique - Takes Direction From - Manager and Business Unit Directors - Customer Interface - Role - Often leads semi-formal teams or significant portions of a large permanent team - Level of Customer Contact - Multiple decision makers and influencers for large deals with complexity - Main Level of Interaction - Leads negotiations on complex deals which may be primarily technical, financial or both - Required Knowledge of Customer - Industry strategies and customer positioning; customer financials and business drivers - Accountability - Business and Financial Impact - Responsible for revenue attainment, margins where appropriate, and personal expenses - Relative Size and Scope - Average to high individual quota for business in like roles or strategic growth potential to be there within a year or two - Types of Projects - Moderately complex deals with a few large, complex deals - Strategic Impact for Zebra - High in near term; medium in mid-term Qualifications: Requirements: - Bachelors preferred or equivalent experience - 5 + years of experience in a related technical role (Sales Engineer, Systems Engineer, Solution Architect, Pre-Sales Engineer, Field Application Engineer) experience with Machine Vision-related products - This remote role must be based near/around Chicago (IL) or Minneapolis (MN), within a reasonable driving distance to a major airport. 50% travel to be expected. Preferred Qualifications: - Experience working with customers in the Manufacturing vertical a plus - Sales experience and/or the ability to identify sales opportunities a strong differentiator - Uses advanced domain/solutions knowledge to competitive advantage - Develops and adapts advanced sales strategies to unique customer needs; creates customer partnerships - Demonstrated technical knowledge and consultative pre-sales skills through communications and presentation delivery to prospects, customers and partners. - Must be able to effectively coordinate across various groups and functional teams both inside and outside of the business. Zebra 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, disability, protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at workplace.accommodations@zebra.com Know Your Rights: https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Zebra is a federal contractor and is committed to an alcohol and drug free workplace. As a result, all U.S. based employees are subject to the Drug and Alcohol Free Workplace Policy and Procedure. To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

Overview Trajector is where purpose meets progress. We specialize in medical evidence services that become the compass our clients rely on while navigating the intricate terrain of disability benefits. Our calling is clear: to make a real difference, infuse passion, and enhance the quality of life for the disabled community. As part of our global community, you'll join a team of over 1,800 dedicated individuals, each contributing their unique talents to streamline the path to benefits. Urgency propels us, data empowers us, and every step is tailored to ensure those with disabilities access their rightful compensation. Join us in shaping stories of transformation, one life at a time. Job Overview We are looking for a Senior Machine Learning Engineer to drive the design and development of scalable AI systems that deliver meaningful impact across the organization. In this role, you will serve as a technical expert, guiding the team in productionizing and maintaining our GenAI workflows for information extraction and document generation. About Our Perks, Compensation, & Benefits - Competitive compensation ranging from $150,000 - $180,000 per year PLUS quarterly bonus. - Medical, dental, vision, 401k program, and more. - Paid time off, including seven (7) federal holidays plus two (2) flex holidays for DEI. - Joining a rapidly growing organization. Responsibilities - Design and implementation of reliable, maintainable, and scalable GenAI systems in production. - Serve as a subject matter expert for machine learning systems owned by the team. - Mentor junior and mid level engineers through code reviews, technical guidance, and design collaboration. - Design, evaluate, and implement GenAI systems and workflows for information extraction and document generation. - Ability to take a proof of concept and turn it into production capable system. - Collaborate with product managers, data scientists, and engineers to translate business needs into high quality, production ready ML solutions. - Present findings, insights, and system results to technical and non technical stakeholders. Qualifications - Authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. - Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical field. - 3-5 years of experience designing, building, and deploying scalable production applications. - Strong proficiency in Python. - Hands on experience of distributed computing and cloud platforms (g., AWS, Kubernetes, Terraform, CI/CD frameworks). - Excellent communication and collaboration skills. - Nice to haves: - Experience with prompt engineering, RAG systems, and LLM evaluation. - Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen). - Experience with workflow orchestration tools (e.g., Airflow, Prefect, Temporal) for managing complex ML/GenAI pipelines. - Familiarity with vector databases and retrieval-augmented generation (RAG) patterns. - Experience evaluating and mitigating LLM risks (hallucinations, bias, safety) Tech Stack - Python - AWS (SageMaker, Bedrock, ECS, Lambda, S3, etc.) - Terraform, CI/CD frameworks EEO Statement Trajector is an EOE/Veterans/Disabled/LGBTQ employer