5,784 AI Model jobs in the United States

**Job Summary**
Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI (RHOAI) team is looking for a Senior Software Engineer with Kubernetes and MLOps (Machine Learning) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open-source communities, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
As a core developer for the Model Server and Metrics team in Red Hat Openshift AI, you will have the opportunity to actively participate in one of our main components in AI space as well as the affiliated open-source communities, such as KServe, Kubeflow, and vLLM. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change - especially in our fast-moving technological landscape - and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
**What you will do:**
+ Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI
+ Innovate in the MLOps domain by participating in upstream communities, such as KubeFlow and KServe
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Write unit and integration tests and work with quality engineers to ensure product quality
+ Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent RHOAI in external engagements including industry events, customer meetings, and open-source communities
+ Mentor and guide other engineers
+ Give thoughtful and prompt code reviews
+ Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
**What you will bring:**
+ Minimum of 5 years of experience
+ Passion for writing and maintaining reliable code
+ Experience with monitoring and alerting tools such as Prometheus and Grafana
+ Excellent written and verbal communication skills; fluent English language skills
+ Strong experience developing applications in Python, GoLang is a plus
+ Strong experience in Kubernetes or OpenShift
+ Experience with source code management tools such as Git
+ Strong system understanding and troubleshooting capabilities
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment
+ Familiarity with data science workflows and machine learning pipelines
+ Excellent written and verbal communication skills
**The following will be considered a plus** **:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how Open Source and Free Software communities work
+ Experience with development for public cloud services (AWS, GCE, Azure)
+ Experience working with or deploying MLOps platforms
+ Experienced in OpenShift based solutions
+ An existing contributor in one or more MLOps open-source projects such as KubeFlow, KServe, RayServe, and vLLM is a huge plus
#LI-JS1
#AI-HIRING
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
**Pay Transparency**
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Benefits**
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
**Note:** These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **.** **General inquiries, such as those regarding the status of a job application, will not receive a reply.**

Join Microsoft's AI Frontier Partnerships Team!
Are you ready to shape the future of Artificial Intelligence? Microsoft is seeking visionary leaders to build and grow partnerships with the world's most innovative AI infrastructure, model, and agent providers. This is your chance to work directly with high-growth, AI-native companies that are driving the next wave of technological transformation.
What You'll Do:
+ Build a Thriving AI Partner Ecosystem: Leverage Microsoft's cutting-edge products, platforms, and go-to-market capabilities to empower our partners and accelerate their success.
+ Lead 360° Business Planning: Take ownership of end-to-end business planning for assigned AI partners, defining and driving joint success metrics across product integration, Go-to-Market (GTM) activation, and joint sales initiatives.
+ Drive Impact Across Microsoft: Collaborate with teams spanning AI products, business development, marketing, startups, and enterprise customers-learning from the best and making a real difference.
+ Shape the Agentic Era: Be at the forefront of technological shifts, working with companies that are redefining what's possible with AI.
Why Join Us?
+ Innovative Environment: Work with a highly motivated, energetic, and fun team committed to each other's success and ambitious growth.
+ Career Growth: Learn from industry leaders and expand your expertise across multiple domains within Microsoft and the broader AI ecosystem.
+ Meaningful Work & Rewards: Make a tangible impact by building partnerships that drive the future of AI.
If you're passionate about AI, business strategy, and building lasting partnerships, we want to hear from you!
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.   
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.  
**Responsibilities**
**Business Leader**
+ Build, maintain, and own a trusted-advisor relationship with C-suite leaders of complex partners to achieve strategic alignment and drive growth. Understands and aligns partners' priorities, strategies, and goals with Microsoft's to build mutually beneficial partner plans across technical product integrations, joint Go-to-Market (GTM) and joint business growth.
+ Execute and drive action through regular partner reviews and quarterly business reviews to track plan execution, identify gaps and agree on any correction of errors.
**Partner Assessment and Qualification**
+ Develop partner recruitment plans to recruit new partners or expand current partnerships to create a balanced portfolio, grow business, and fill market opportunities.
+ Influence partners and business leaders to upsell Microsoft products and services.
+ Understands the ecosystem and the various disrupters, influencers, etc., and how best to bring in potential big wins.
+ Leverage understanding of the investing community and pull information and insights from them.
**Performance and Impact:**
+ Define joint success Key Performance Indicators (KPIs) and leverage all organizations within Microsoft to provide better solutions, generate broad solution awareness and faster sales cycles for partners.
+ Ensure results on partner's behalf through resolution of complex and urgent escalations.
+ Lead the orchestration of response to the partner to ensure timely action and resolution from internal teams.
**Partner Sales and Consumption:**
+ Designs and creates new offer and incentive structures to the partners and provides perspective when others are drafting Go-to-Market packages.
+ Oversee planning, campaign tactics, offers, and incentives. Ensure core activities are agreed upon before executing and helps to coordinate resources.
+ Provide oversight to ensure Launch Excellence with sales readiness, and Go-to-Market (GTM) activities.
+ Demonstrates a comprehensive understanding of Go-to-Market (GTM) programs and runs complex campaigns, and actively coaches team.
**Other**
+ Embody our Culture  (  &  Values. ( qualifications**
+ Bachelor's Degree in Marketing, Business Operations, Computer Science or a related field AND 8+ years' experience in partner management, sales, business development, or partner channel development in the technology industry or related experience
+ OR equivalent experience.
+ 8+ years' experience in cloud partnerships, sales, SaaS, or product and technology integrations.
**Other Requirements**
+ Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.
**Additional or preferred qualifications**
+ Master's Degree in Business Administration, Business Science, or an advanced degree in a Science, Technology, Engineering, and Mathematics (STEM) or a related field AND 10+ years' experience in partner management, sales, business development, or partner channel development in the technology industry or related experience
+ OR equivalent experience.
+ 1+ years' experience in working with AI Model companies, AI start ups
+ OR equivalent experience.
Partner Development Management IC5 - The typical base pay range for this role across the U.S. is USD $133,000 - $22,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 170,300 - 239,800 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications for the role until Friday, October 6th 2025.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Job Summary**
Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI (RHOAI) team is looking for a Senior Software Engineer with Kubernetes and MLOps (Machine Learning) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open-source communities, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
As a core developer for the Model Server and Metrics team in Red Hat Openshift AI, you will have the opportunity to actively participate in one of our main components in AI space as well as the affiliated open-source communities, such as KServe, Kubeflow, and vLLM. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change - especially in our fast-moving technological landscape - and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
**What you will do:**
+ Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI
+ Innovate in the MLOps domain by participating in upstream communities, such as KubeFlow and KServe
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Write unit and integration tests and work with quality engineers to ensure product quality
+ Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent RHOAI in external engagements including industry events, customer meetings, and open-source communities
+ Mentor and guide other engineers
+ Give thoughtful and prompt code reviews
+ Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
**What you will bring:**
+ Minimum of 5 years of experience
+ Passion for writing and maintaining reliable code
+ Experience with monitoring and alerting tools such as Prometheus and Grafana
+ Excellent written and verbal communication skills; fluent English language skills
+ Strong experience developing applications in Python, GoLang is a plus
+ Strong experience in Kubernetes or OpenShift
+ Experience with source code management tools such as Git
+ Strong system understanding and troubleshooting capabilities
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment
+ Familiarity with data science workflows and machine learning pipelines
+ Excellent written and verbal communication skills
**The following will be considered a plus** **:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how Open Source and Free Software communities work
+ Experience with development for public cloud services (AWS, GCE, Azure)
+ Experience working with or deploying MLOps platforms
+ Experienced in OpenShift based solutions
+ An existing contributor in one or more MLOps open-source projects such as KubeFlow, KServe, RayServe, and vLLM is a huge plus
#LI-JS1
#AI-HIRING
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
**Pay Transparency**
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Benefits**
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
**Note:** These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **.** **General inquiries, such as those regarding the status of a job application, will not receive a reply.**

Our client, a rapidly growing technology firm specializing in cutting-edge AI solutions, is looking for enthusiastic and bright aspiring professionals to join their team as Junior Data Scientists in Huntsville, Alabama, US . This internship program is designed to provide hands-on experience in the exciting field of Artificial Intelligence and Emerging Technologies. Interns will work closely with senior data scientists and engineers on real-world projects, gaining invaluable skills in data analysis, machine learning model development, and algorithm implementation.

Responsibilities:

• Assist in the collection, cleaning, and preprocessing of large datasets for AI model training.
• Support the development and implementation of machine learning algorithms and models under the guidance of senior staff.
• Perform exploratory data analysis to identify patterns, trends, and insights.
• Help in the evaluation and testing of AI models to assess their performance and accuracy.
• Contribute to the documentation of data sources, methodologies, and model architectures.
• Collaborate with team members on assigned projects, participating in team meetings and brainstorming sessions.
• Learn and apply industry-standard tools and programming languages (e.g., Python, R, SQL) for data science tasks.
• Assist in the visualization of data and model results.
• Gain exposure to various AI techniques, including supervised, unsupervised, and deep learning.
• Follow best practices for code development, version control, and data management.
• Actively seek feedback and opportunities for professional growth.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Solid understanding of fundamental statistical concepts and machine learning principles.
• Proficiency in at least one programming language commonly used in data science (e.g., Python).
• Familiarity with data manipulation libraries (e.g., Pandas) and machine learning libraries (e.g., Scikit-learn) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to work with large datasets.
• Good written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a collaborative team environment.
• Previous project experience or coursework in data analysis or AI is advantageous.

This fully remote internship offers a fantastic opportunity to kickstart a career in AI and gain practical experience in a dynamic industry.

Job Description

Job Description

PLEASE APPLY THROUGH THIS LINK:

DO NOT APPLY BELOW

Mission

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

Overview

As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we'd love to hear from you.

What Yo u' ll Do

• State of the art voice cloning
• Low latency and cost effective text to speech

An Ideal Candidate Should Have

• Proven experience in backend development: Python
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers.
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact.
• Experience with Docker and containerized deployments.
• Proficiency in deploying high availability applications on Kubernetes.
• Preferred: Experience deploying NLP or TTS models to production.

What We Offer

• A dynamic environment where your contributions shape the company and its products.
• A team that values innovation, intuition, and drive.
• Autonomy, fostering focus and creativity.
• The opportunity to have a significant impact in a revolutionary industry.
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.

Salary

• The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As a Deep Learning Architect you are responsible for:
- Designing complex, scalable, and secure AWS ML architectures specifically for model optimization workloads including fine-tuning, continued pretraining, and reinforcement learning
- Collaborating with AI/ML scientists and architects to research, design, develop, and evaluate generative AI optimization solutions
- Interacting directly with customers to understand their business problems and model customization requirements, guiding them through implementation of optimization solutions and paths to production
- Architecting MLOps pipelines and infrastructure for distributed training, model evaluation, and deployment at scale using tools such as MLflow and SageMaker Pipelines
- Designing and implementing data curation and distributed training pipelines for LLMs
- Optimizing AI models for deployment, developing custom solutions for enhanced performance
- Creating and delivering best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
- Providing customer and market feedback to product and engineering teams to help define product direction for ML services
- Implementing Infrastructure as Code (IaC) solutions using CDK and Terraform for ML training and inference architectures
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts for model optimization practices
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As a Deep Learning Architect you are responsible for:
- Designing complex, scalable, and secure AWS ML architectures specifically for model optimization workloads including fine-tuning, continued pretraining, and reinforcement learning
- Collaborating with AI/ML scientists and architects to research, design, develop, and evaluate generative AI optimization solutions
- Interacting directly with customers to understand their business problems and model customization requirements, guiding them through implementation of optimization solutions and paths to production
- Architecting MLOps pipelines and infrastructure for distributed training, model evaluation, and deployment at scale using tools such as MLflow and SageMaker Pipelines
- Designing and implementing data curation and distributed training pipelines for LLMs
- Optimizing AI models for deployment, developing custom solutions for enhanced performance
- Creating and delivering best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
- Providing customer and market feedback to product and engineering teams to help define product direction for ML services
- Implementing Infrastructure as Code (IaC) solutions using CDK and Terraform for ML training and inference architectures
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts for model optimization practices
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
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AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Mission

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

Overview

As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we'd love to hear from you.

What Yo u' ll Do

• State of the art voice cloning
• Low latency and cost effective text to speech

An Ideal Candidate Should Have

• Proven experience in backend development: Python
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers.
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact.
• Experience with Docker and containerized deployments.
• Proficiency in deploying high availability applications on Kubernetes.
• Preferred: Experience deploying NLP or TTS models to production.

What We Offer

• A dynamic environment where your contributions shape the company and its products.
• A team that values innovation, intuition, and drive.
• Autonomy, fostering focus and creativity.
• The opportunity to have a significant impact in a revolutionary industry.
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
• An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain.

Salary

• The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

**Summary:**
Reality Labs focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). Enabling compelling user experiences on Virtual and Augmented Reality devices requires innovation and co-design across all layers of stack from novel algorithms to custom silicon. The Meta AR/VR team is driving the state of the art forward with breakthrough work in computer vision, speech, virtual assistant, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body among many others.We are seeking exceptional interns with a background in developing efficient models for AR/VR applications, including, but not limited to, computer vision, speech, sensor fusion, NLP, multi-modal AI. Our team focuses on developing state of the art models with tight constraints on memory and power and on model optimization techniques, e.g., sparsity, quantization, compression, network architecture search, tensor decomposition, etc. The ideal candidate will have practical experience in developing real time models that can achieve high accuracy under deployment constraints such as limited compute and memory resources.In this position, you will get exposure to the full stack from user experiences, algorithms down to hardware execution blocks. You will work with the domain experts to understand the challenges and build state-of-the-art networks to tackle them and then work with the software/hardware team to deploy these solutions on-device.Our internships are twelve (12) - sixteen (24) weeks long and we have various start dates throughout the year.
**Required Skills:**
Research Scientist Intern, On-Device AI Model Optimization (PhD) Responsibilities:
1. Define, plan and execute cutting-edge deep learning research to advance AR/VR experiences
2. Develop novel deep learning techniques to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution on LLM, multimodal models and reasoning models
3. Collaborate with other research scientists and software engineers to develop innovative deep learning techniques, such as quantization, compression, pruning etc, for vision, speech, user interface and other use-cases
4. Collaborate with software and hardware engineers to develop tradeoff curves for accuracy vs the runtime resources/constraints such as latency, energy
5. Communicate the experimental results and the recommendations clearly, both within the group as well as to the cross-functional groups
**Minimum Qualifications:**
Minimum Qualifications:
6. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering or related field
7. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
8. Experience in developing machine learning solutions for problems
9. Programming experience and experience with deep learning framework for prototyping ideas
10. Interpersonal experience: cross-group and cross-culture collaboration
**Preferred Qualifications:**
Preferred Qualifications:
11. Intent to return to degree-program after the completion of the internship/co-op
12. Publication track record of first-authored publications in top-tier machine learning conferences such as NeurIPS, ICML, ICLR, ACL, AAAI and other similar venues
13. Experience in training and inference of LLMs, multimodal models or reasoning models
14. Experience in one or more model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (LoRA), Parameter-Efficient Fine-Tuning (PEFT) etc, for cloud or on-device AI deployment
15. Demonstrated research and software engineering experience via an internship, coding competitions, or contributions in open source repositories (e.g. GitHub)
**Public Compensation:**
$7,650/month to $12,134/month + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at