Entry Level AI ML Engineer Jobs
New grad ai ml engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a long resume. Most openings mix on-site and remote work across Consulting & Professional Services, Technology & Software, and Electronics & Hardware, with employers like JPMorganChase, Apple, and Optum hiring at this level now.
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INTRODUCTION
Kforce has a client in Austin, TX that is seeking a Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience.
Responsibilities
- Administer and support AI and HPC cluster environments
- Manage day-to-day operations of large-scale compute infrastructure
- Deploy, maintain, and troubleshoot Kubernetes-based platforms
- Ensure reliability, performance, and scalability across compute, storage, and networking environments
- Support AI model training and inference infrastructure
- Automate operational processes through scripting and tooling
- Partner with engineering teams and customers to optimize platform performance
- Troubleshoot complex infrastructure, networking, storage, and containerization issues
- Support both internal platforms and customer-facing environments
Why Consider This Opportunity?
- 100% Remote Environment
- Exposure to cutting-edge AI, GenAI, and HPC technologies
- Flat organizational structure with minimal bureaucracy
- Direct impact on strategic technology initiatives
- Opportunity to work on platforms that support healthcare, research, drug discovery, and other meaningful AI-driven innovations
- High visibility and collaboration with industry-leading technical teams
COMPENSATION & BENEFITS
- Base Salary: $175,000 - $200,000+
- Annual Bonus: Typically 10%-15%
- Medical, Dental, and Vision Coverage
- 401(k)
- Additional performance-based incentives
REQUIREMENTS
- Strong experience administering High Performance Computing (HPC) environments
- Experience with AI cluster administration and infrastructure operations
- Hands-on Kubernetes administration experience in on-premises environments
- Experience provisioning and managing PV/PVC storage through Kubernetes CSI drivers
- Strong Linux administration skills, specifically Ubuntu
- Scripting experience with Bash and/or Python
- Proven troubleshooting and operational support experience
- Ability to manage and maintain production infrastructure environments
Experience With One Or More Of The Following
- Dell PowerScale/Isilon
- VAST Storage
- NetApp ONTAP
- DDN IntelliFlash
- DDN Exascaler
- Lustre Parallel File Systems
Successful Candidates May Come From Organizations Focused On
- AI Infrastructure
- Machine Learning Platforms
- HPC Operations
- Research Computing
- Biotechnology
- Academic Medical Centers
- Digital Biology
- Financial Services AI Platforms
- Automotive AI Initiatives
- Large-Scale Data Science Environments
PREFERRED
- NVIDIA ecosystem experience
- NVIDIA Base Command Manager (BCM)
- Bright Cluster Manager
- MLOps platform exposure
- Containerization technologies and orchestration platforms
- High-performance networking experience
- RDMA technologies
- InfiniBand networking
- NVIDIA UFM
- Parallel file system administration
- Storage Technologies (highly desired)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
INTRODUCTION
Kforce has a client in Austin, TX that is seeking a Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience.
Responsibilities
- Administer and support AI and HPC cluster environments
- Manage day-to-day operations of large-scale compute infrastructure
- Deploy, maintain, and troubleshoot Kubernetes-based platforms
- Ensure reliability, performance, and scalability across compute, storage, and networking environments
- Support AI model training and inference infrastructure
- Automate operational processes through scripting and tooling
- Partner with engineering teams and customers to optimize platform performance
- Troubleshoot complex infrastructure, networking, storage, and containerization issues
- Support both internal platforms and customer-facing environments
Why Consider This Opportunity?
- 100% Remote Environment
- Exposure to cutting-edge AI, GenAI, and HPC technologies
- Flat organizational structure with minimal bureaucracy
- Direct impact on strategic technology initiatives
- Opportunity to work on platforms that support healthcare, research, drug discovery, and other meaningful AI-driven innovations
- High visibility and collaboration with industry-leading technical teams
COMPENSATION & BENEFITS
- Base Salary: $175,000 - $200,000+
- Annual Bonus: Typically 10%-15%
- Medical, Dental, and Vision Coverage
- 401(k)
- Additional performance-based incentives
REQUIREMENTS
- Strong experience administering High Performance Computing (HPC) environments
- Experience with AI cluster administration and infrastructure operations
- Hands-on Kubernetes administration experience in on-premises environments
- Experience provisioning and managing PV/PVC storage through Kubernetes CSI drivers
- Strong Linux administration skills, specifically Ubuntu
- Scripting experience with Bash and/or Python
- Proven troubleshooting and operational support experience
- Ability to manage and maintain production infrastructure environments
Experience With One Or More Of The Following
- Dell PowerScale/Isilon
- VAST Storage
- NetApp ONTAP
- DDN IntelliFlash
- DDN Exascaler
- Lustre Parallel File Systems
Successful Candidates May Come From Organizations Focused On
- AI Infrastructure
- Machine Learning Platforms
- HPC Operations
- Research Computing
- Biotechnology
- Academic Medical Centers
- Digital Biology
- Financial Services AI Platforms
- Automotive AI Initiatives
- Large-Scale Data Science Environments
PREFERRED
- NVIDIA ecosystem experience
- NVIDIA Base Command Manager (BCM)
- Bright Cluster Manager
- MLOps platform exposure
- Containerization technologies and orchestration platforms
- High-performance networking experience
- RDMA technologies
- InfiniBand networking
- NVIDIA UFM
- Parallel file system administration
- Storage Technologies (highly desired)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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Entry Level AI ML Engineer Jobs: Frequently Asked Questions
How do I get an entry level ai ml engineer job?
Entry level ai ml engineer roles reward candidates who can show applied work: a GitHub portfolio with ML projects, coursework in Python, TensorFlow, or PyTorch, and any internship or capstone experience involving real data. Employers at this level often care more about demonstrated problem-solving than years of experience, so building and sharing projects publicly gives you a clear edge over candidates with only classroom credentials.
Which companies hire entry level ai ml engineers?
Companies hiring entry level ai ml engineers right now include JPMorganChase, Apple, and Optum, based on current listings on Migrate Mate as of August 2026. At this level, hiring comes from a wide range of employers, including large tech firms with structured new grad programs, AI-focused startups building their first engineering teams, and enterprises across healthcare, finance, and retail modernizing their data infrastructure.
Are there remote entry level ai ml engineer jobs?
Yes, though most entry level roles still include some on-site or hybrid component. About 59% of entry level ai ml engineer openings are remote or hybrid as of August 2026, so fully remote positions exist but are not the majority. Candidates open to hybrid arrangements will see a broader range of opportunities than those filtering for fully remote only.
Are these new grad ai ml engineer jobs?
Yes, the roles listed here include new grad, recent graduate, and junior ai ml engineer positions. A new grad friendly posting typically welcomes zero to two years of experience and treats internships, academic projects, or a strong portfolio as qualifying background. If a listing asks for a degree in computer science, mathematics, or a related field without requiring prior full-time employment, it is generally open to new grads.
Which industries hire the most entry level ai ml engineers?
Entry Level ai ml engineer roles concentrate in Consulting & Professional Services, Technology & Software, and Electronics & Hardware, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at the entry level because they are actively building or expanding ML capabilities and tend to run structured early-career programs that bring in recent graduates and train them on internal tools and workflows.