97 AI Development jobs in West Alton

• Conduct cutting-edge research in deep learning and related AI fields.
• Develop, implement, and evaluate novel deep learning models and algorithms.
• Process and analyze large-scale datasets to extract meaningful insights.
• Collaborate with engineering teams to integrate AI models into production systems.
• Stay abreast of the latest advancements in AI and machine learning literature.
• Publish research findings in top-tier conferences and journals.
• Present research results to technical and non-technical audiences.
• Mentor junior researchers and interns.
• Contribute to the intellectual property and patent portfolio of the company.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of research experience in AI/ML, with a focus on deep learning.
• Demonstrated expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python.
• Experience with cloud computing platforms (AWS, Azure, GCP).
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills.
• Proven ability to work independently and as part of a research team.
• Track record of publications in leading AI conferences (NeurIPS, ICML, CVPR, etc.).

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The opportunity Adobe's EPG (Emerging Products Group), also known as the Nextcam team, is seeking a Software Development Engineer with training and/or experience in modern AI, and in computer vision, image processing, or computational photography, to join our team in San Jose, California. We are particularly looking for candidates who are both strong programmers and have experience in developing, debugging, optimizing, and/or deploying AI models. This is a relatively new team, led by VP and Fellow Marc Levoy, that is exploring next-generation image and video editing features powered by AI, computer vision, and computational photography, which will be deployed in Adobe Camera Raw, Lightroom, Photoshop, Premiere, Express, or other imaging products, with the opportunity for broad impact. As examples of what we work on, the team recently launched an AI-based feature for removing window reflections from photographs; as described in this blog. This launch produced a ton of positive press coverage (e.g. The Verge), influencer videos (e.g. PhotoshopCafe), and interviews (e.g. CNET). Earlier in 2024 we launched an AI model that automatically adjusts the tone and color of photographs, as described in this blog. For SLR/MIR camera users, this may be the first time they've seen their photographs rendered in high dynamic range. If you are passionate about photography and AI, and enjoy engineering and productization challenges, leading to broad product impact that puts magical new imaging features in the hands of millions of users, this is your opportunity to work with a great team who is changing the photography industry. What you'll do * Work with researchers to develop and tune AI-heavy features for photography and video applications. * Profile and optimize AI models for use in Adobe Camera Raw, Lightroom, Photoshop, and other products. * Translate image processing code from Python into C++ for integration into Camera Raw or other codebases. * Work with engineers on other Adobe teams to deploy AI models in Linux-based cloud servers. * Translate AI models from Python into CoreML, ONNX etc. for deployment on MacOS, Windows, iOS, Android devices. * Develop software tools and workflows to facilitate and automate these tasks, and to support long-term maintenance. * Stay abreast of the latest advancements in AI research, model conversion, and deployment tools. What you need to succeed * B.S., M.S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your skills to problems in photography and videography defined broadly. * Strong programming skills (including C/C++ and Python). * Experience with AI tools (e.g. PyTorch, CoreML, LiteRT, ONNX). * A plus would be knowledge of the iOS or Android platforms and mobile app development environments. * Another plus would be experience in programming on GPUs or other hardware accelerators. * Should have a passion for quality and engineering excellence. * And excellent communication and collaboration skills. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $133,900 -- $242,000 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call ( . #J-18808-Ljbffr

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity: Adobe Document Cloud's AI team seeks a Senior Software Engineer to enhance our next generation of AI-driven features. Our scale spans billions of PDFs and millions of transactions monthly. Join the core team managing the central repository supporting all feature development and backend services for the Acrobat AI Assistant. This role is pivotal in fostering rapid feature development and building production-ready componentry invoked countless times daily to serve our customers. We support features like question-answering (QA), suggested and related questions, attributions, document summaries, and more.Our most recent public features include Liquid Mode , allowing a flawless reflow experience for PDFs on phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our solutions are deployed on mobile devices, in the cloud, and on desktop. What You'll Do: Design, build, and maintain scalable and efficient code solutions for the Acrobat AI Assistant. Develop and review specifications for safe client-service contracts, ensuring clear, concise, and secure interactions. Implement best practices in code layering and modular design for robust and maintainable codebases. Conduct detailed reviews of pull requests and debug complex service integration issues. Lead the coordination and execution of service releases, ensuring they meet rigorous production standards. Work closely with feature teams to facilitate effective communication and knowledge sharing. Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems. Build and provide operational support for globally deployed systems, powering some of the most advanced products in the market. What You'll Need to Succeed: B.S., M.Sc., or Ph.D. in Computer Science or equivalent practical experience with 5+ years of experience. Strong experience in software development, particularly in backend infrastructure, with a focus on code layering and architectural best practices. Proficiency in designing and implementing concurrent and asynchronous systems using languages such as Python, JavaScript (Node.js), or Go. Familiarity with integrating language models within a feature pipeline. Strong understanding of event-driven architectures and non-blocking I/O operations. Understanding of OOP principles such as encapsulation, inheritance, polymorphism, and abstraction. Familiarity with common design patterns (e.g., Singleton, Factory, Observer, Strategy). Proficiency in writing unit and integration tests for object-oriented systems. Strong debugging skills. Proficiency in Python, with the ability to write clean, unit-tested, and well-documented code using docstrings. Familiarity with frameworks such as LangChain and Pydantic is highly desirable. Familiarity with prompt engineering, vector search techniques, and similar AI/ML technologies. Experience or willingness to learn how to create and review specifications for client-service contracts. Strong interpersonal skills with the ability to lead, mentor, and work collaboratively in a fast-paced environment. A proactive approach to identifying and resolving technical challenges independently. Flexibility in high-pressure settings. Nice to Have: Experience in developing and deploying machine learning models in production environments. Expertise in continuous integration/continuous deployment pipelines, particularly in cloud environments. Experience with building and maintaining large-scale data processing systems, with a strong understanding of technologies like Kafka and Spark. Familiarity with networking protocols and monitoring systems, as well as experience in developing and maintaining RESTful APIs. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $133,900 -- $242,000 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call ( . #J-18808-Ljbffr

About the Company

Valons mission is to empower every homeowner. We believe the journey of home ownership starts when you get your keys, but lasts far beyond. Were creating a world where home ownership comes with ease, security, and financial know-how. Our growing team of engineers, operators, product enthusiasts, and experienced servicing professionals are leveraging technology to fundamentally improve the homeownership experience. Through mortgage servicingthe process of paying off ones mortgageValon is taking the first step in transforming the industry one homeowner, and lender, at a time.

We are building a world-class engineering team to automate one of the most regulated spaces in the financial sector - the mortgage and housing industry. We come from companies like Google, Facebook, Spotify, Oscar Health, and Twilio. Youll join a small, tight-knit group of engineers who are developing flexible backend architecture to accurately handle billions of dollars at scale. In addition, our team of engineers is fulfilling Valons mission by creating a great user experience to help homeowners manage their mortgages through a platform that delivers new features quickly and with quality. Our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform.

Our headquarters are in New York City, and this year, were excited to open a new office in San Francisco. Plus, we fully support remote work!

• Lead the end-to-end development and deployment of AI systems for mortgage servicing products and workflows, including document classification, call center insights, and servicing specific agentic AI.
• Identify new opportunities to apply generative AI to enhance operational efficiency across the entire business.
• Oversee the architecture, training, and serving of open-source deep learning models using state-of-the-art infrastructure.
• Conduct applied product research to evaluate and integrate the latest LLM models and techniques into production systems.
• Ensure AI solutions adhere to regulatory standards.
• Mentor and guide team members, fostering an environment of continuous learning and innovation.

• A proven track record of implementing generative AI solutions in production environments.
• Proficiency in tools and models such as OpenAI, Anthropic, Hugging Face, and human-in-the-loop platforms like Humanloop.
• Experience with full-stack development, particularly with Python, React, and GCP.
• 5+ years of industry experience in engineering with a strong focus on AI, particularly LLMs and related technologies.
• Strong problem-solving skills and excellent communication abilities.
• Strong ability to collaborate with product managers, founders, and the operational team to build and iterate on product-focused AI solutions.

• Base Compensation Band: $185,000-$325,000. This band spans multiple levels of seniority, which will be narrowed during the interview process.
• Compensation: competitive salary with a meaningful stake in the company via equity, and 401k plan
• Health & well-being: well invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
• Commuter benefits: We offer pre-tax deductions for public transportation, rideshare services, and parking expenses to make your commute more affordable and convenient.
• Grow together: Company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback
• Play together: quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners!
• Generous time off: flexible paid time off, sick days, and 11 company holidays
• Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition

Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role:

We are seeking a talented Senior Artificial Intelligence (AI) engineer to join our AI Research team and contribute to our vision of creating a Queryable Earth. In this role, you will work with cutting-edge vision-language models (VLMs) and contrastive vision-language embedding models to extract valuable insights from our extensive archive of geospatial imagery. This is a fantastic opportunity to contribute to accelerate the shift in how geospatial data is consumed by end users. You will work with highly skilled Planeteers working on multi-disciplinary fields including satellites, space operations, image processing, data pipeline and analytics teams and work to co-develop AI/ML solutions for Planet's geospatial imagery. Join us in revolutionizing how we understand and interact with our Planetary Dataset through the power of AI.

This is a full-time, hybrid role which will require you to be in our San Francisco, HQ 3 days per week.

Impact You'll Own:

• Develop and optimize multimodal LLM applications


• Create and optimize embeddings for large-scale satellite imagery datasets


• Design and execute machine learning workflows for geospatial analysis


• Contribute to the development of a Queryable Earth functionality using natural language queries


• Collaborate with research scientists and engineers to design innovative models for remote sensing applications


• Assist in automating the preprocessing and labeling geospatial data for AI tasks.


• Evaluate and improve algorithms for feature detection and classification in satellite imagery


• Potentially optimize and fine-tune novel VLMs tailored for Earth observation data

What You Bring:

• Advanced degree in Computer Science, Artificial Intelligence, Remote Sensing, or similar


• 10+ years experience Computer Science, Artificial Intelligence, Remote Sensing, or a related field


• Experience with Remote Sensing, Satellite Image Analysis, and Geospatial Data


• Experience with rapid prototyping of AI Applications, especially search, LLMs, and agents including OpenAI agents SDK, Model Context Protocol, Langchain, etc.


• Extensive experience in developing and deploying AI/ML models, with a focus on geospatial applications and foundation models, embeddings, and frontier VLLMs


• Excellent understanding of generative AI techniques, including LLMs and embeddings.


• Proficient in Python and deep learning frameworks and high-performance distributed computing and IO frameworks using the python ecosystem, e.g. xarrays, dask, numpy, BigQuery, etc.


• Expertise with computer vision and natural language processing techniques and familiarity with joint multimodal embeddings generators like CLIP and its more recent variants, as well as the operation and use of MMVLMS (multi-model vision-language models)


• Familiarity with multi-dimensional geometry, statistics, linear algebra, optimization, and the internals of standard deep learning architectures


• Fluency in full stack-development development and effective GUI implementation for web applications which rely on back-end scientific and AI systems


• Knowledge of geospatial data formats and analysis tools (e.g., GDAL, GeoPandas, Rasterio)


• Excellent problem-solving skills and ability to work in a dynamic research environment


• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data workflows


• Excellent communication and collaboration skills

What Makes You Stand Out:

• Product and/or business development experience


• Experience with vector databases, RAGs, and similarity search algorithms

Application Deadline:

July 21, 2025 by 11:59 PM PDT

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans


• Health Savings Account (HSA) with a company contribution


• Generous Paid Time Off in addition to holidays and company-wide days off


• 16 Weeks of Paid Parental Leave


• Wellness Program and Employee Assistance Program (EAP)


• Home Office Reimbursement


• Monthly Phone and Internet Reimbursement


• Tuition Reimbursement and access to LinkedIn Learning


• Equity


• Commuter Benefits (if local to an office)


• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

San Francisco Salary Range

$182,900 $228,600 USD

Why we care so much about Belonging.
We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please. do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride.

EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

Privacy Policy : By clicking Apply Now at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Privacy Policy (European Applicants): By clicking Apply Now at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Reports to: Sr. Vice President of AI Platform Department: Product FLSA Category: Exempt Travel Requirement: 0-10%, Quarterly for meetings Office Location: Remote, US based JOB SUMMARY We are a next-generation, AI-powered MarTech and AdTech startup focused on unlocking enterprise-grade marketing intelligence for small and medium-sized businesses (SMBs). Our platform is built on LLMs, agentic AI frameworks, and proprietary data-driven systems that scale performance, personalization, and automation across the marketing lifecycle. We are seeking a highly skilled AI/ML Infrastructure Solutions Engineer to join our AI Platform team. In this role, you will be responsible for designing, building, and maintaining the infrastructure that powers our machine learning lifecycle, from data pipeline and model training to platform deployment and monitoring. You’ll work closely with data scientists, ML engineers, and DevOps to ensure scalable, secure, and efficient AI operations. You will work closely with AI/ML engineers, data scientists, and product leadership to build high-performance pipelines, streaming architectures, and data reliability systems that enable intelligent agent interoperability at scale. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Design and implement end-to-end ML pipelines for training, validation, deployment, and monitoring. Develop and manage infrastructure-as-code (IaC) for scalable ML environments (e.g., Terraform, Kubernetes). Integrate CI/CD workflows for ML model versioning, testing, and deployment. Collaborate with data scientists to operationalize ML models in production. Implement observability tools for model performance, drift detection, and logging. Optimize computer resources across cloud and on-prem environments. Ensure compliance with AI governance, security, and data privacy standards. KNOWLEDGE, SKILLS, ABILITIES, AND QUALIFICATIONS 5+ years of experience in MLOps, DataOps, DevOps, or ML Engineering. Bachelor’s degree in Engineering, Computer Science, or equivalent. Master’s degree preferred. Proficiency in Python, Docker, and Kubernetes. Experience with ML platforms (e.g., MLflow, SageMaker, Vertex AI, Databricks). Familiarity with cloud infrastructure (AWS, Azure, or GCP). Strong understanding of CI/CD pipelines and model lifecycle management. Knowledge of monitoring tools (e.g., Prometheus, Grafana, Evidently AI). Experience with LLMOps or RAG-based architectures. Familiarity with distributed training and GPU orchestration. Exposure to generative AI workflows and prompt engineering. Contributions to open-source MLOps tools or frameworks. Why Join Us? Work on cutting-edge AI infrastructure powering real-world applications. Collaborate with a world-class team of AI researchers and engineers. Flexible work environment with opportunities for growth and innovation. Competitive compensation and benefits. Collaborate directly with C-level leadership to influence product direction and technical strategy. Be part of a mission-driven company transforming how AI powers marketing for SMBs. Work in a startup environment where innovation, speed, and experimentation are encouraged. PHYSICAL REQUIREMENTS/WORKING CONDITIONS Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person. Climbing/Stooping/Kneeling: 0% - 10% of the time. Lifting/Pulling/Pushing: 0% - 10% of the time. Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time. Sitting: Sitting for prolonged and extended periods of time. This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description. Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class. Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities. If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to . Apply for this job First name Last name Email address Location Phone number Resume Attach resume Attach another file Attach file Skills Self-Assessment Please share your experience with each of these skills Python No Experience Some Experience Expert Docker No Experience Some Experience Expert Kubernetes No Experience Some Experience Expert Prometheus No Experience Some Experience Expert What is your Linkedin Profile URL? What are your salary requirements? per hour Are you authorized to work in the United States? Are you authorized to work in the United States? Will you now or in the future require sponsorship for employment visa status (e.g. H-1B status)? Will you now or in the future require sponsorship for employment visa status (e.g. H-1B status)? What is the highest level of education you’ve obtained? What is the highest level of education you’ve obtained? #J-18808-Ljbffr