Entry Level Machine Learning Engineer Jobs
New grad machine learning engineer jobs attract recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site, remote, and hybrid roles across Technology & Software, Electronics & Hardware, and Banking & Financial Services, with employers like Apple, TikTok, and Scale AI hiring at this level now.
Find JobsOverview
Showing 5 of 207+ Entry Level Machine Learning Engineer jobs
INTRODUCTION
About the team: The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & e-comm ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.
Responsibilities
- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
- Responsible for improving usability and flexibility of the machine learning infrastructure.
- Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
- Responsible for designing and developing key components of ML infrastructure and mentoring interns.
MINIMUM QUALIFICATIONS
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role
- Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills.
- Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
- Experience in developing and deploying large-scale systems.
PREFERRED QUALIFICATIONS
- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.
ABOUT USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
WHY JOIN US
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
DIVERSITY & INCLUSION
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
USDS REASONABLE ACCOMMODATION
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
JOB INFORMATION
【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $136800 - $359720 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
INTRODUCTION
About the team: The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & e-comm ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.
Responsibilities
- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
- Responsible for improving usability and flexibility of the machine learning infrastructure.
- Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
- Responsible for designing and developing key components of ML infrastructure and mentoring interns.
MINIMUM QUALIFICATIONS
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role
- Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills.
- Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
- Experience in developing and deploying large-scale systems.
PREFERRED QUALIFICATIONS
- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.
ABOUT USDS
TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.
On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.
WHY JOIN US
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
DIVERSITY & INCLUSION
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
USDS REASONABLE ACCOMMODATION
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA
JOB INFORMATION
【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $136800 - $359720 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
See All 207+ Entry Level Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsEntry Level Machine Learning Engineer Job Market
Who's Hiring
- Apple18
- TikTok12
- Scale AI10
- Pinterest8
- JPMorganChase6
Top Industries Hiring
- Technology & Software70
- Electronics & Hardware26
- Banking & Financial Services26
- Artificial Intelligence18
- Science & Research17
Entry Level Machine Learning Engineer Jobs: Frequently Asked Questions
How do I get an entry level machine learning engineer job?
Build a portfolio of projects that demonstrate core skills: training and evaluating models, working with real datasets, and writing clean Python code. Employers at this level look for familiarity with frameworks like PyTorch or TensorFlow, foundational knowledge of statistics and linear algebra, and evidence you can ship something, whether that comes from coursework, a capstone project, a Kaggle competition, or an internship.
Which companies hire entry level machine learning engineers?
Companies hiring entry level machine learning engineers right now include Apple, TikTok, and Scale AI, based on current listings on Migrate Mate as of August 2026. At this level, hiring covers large technology firms with structured new-grad programs, fast-growing AI startups, and enterprise companies building out their first ML teams.
Are there remote entry level machine learning engineer jobs?
Yes, though fully remote roles at the entry level are less common than for senior positions. About 33% of entry level machine learning engineer openings are remote or hybrid as of August 2026, so candidates who need location flexibility still have meaningful options while many employers prefer on-site for new engineers early in their career.
Are these new grad machine learning engineer jobs?
Yes, the listings here include new grad, recent graduate, and junior machine learning engineer roles. A posting is typically new-grad friendly when it welcomes zero to two years of experience and accepts internships, academic projects, or a strong portfolio in place of full-time work history. Look for language like "entry level", "new grad", or "junior" in the job description as a reliable signal.
Which industries hire the most entry level machine learning engineers?
Entry Level machine learning engineer roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they are actively building ML infrastructure, have the data volume to support model development, and run new-grad or rotational programs designed to develop junior engineers quickly.