machine learning intern

TikTok

Technology
 
Machine Learning Engineer Intern (TikTok-Data-Search-Search Quality) - 2026 Start (PhD)
 
Location
 :
 
San Jose
 
Employment Type
 :
 
Intern
 
Job Code
 :
 
A46838
 
Responsibilities
 
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a global user base.
 
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
 
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
 
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).
 
Responsibilities
 <ul>
<li>Support the design, implementation, testing, and iteration of Search features, services, or tools under the guidance of engineers and mentors.</li>
<li>Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality.</li>
<li>Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones.</li>
<li>Write clear, maintainable code and documentation for assigned workstreams.</li>
<li>Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship.</li>
</ul>
Qualifications
 
Minimum Qualifications
 <ul>
<li>Must be able to commit to a 12-week full-time work.</li>
<li>Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.</li>
<li>Proficient coding skills and strong algorithm & data structure basis.</li>
<li>Effective communication and teamwork skills.</li>
<li>Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.</li>
</ul>
Preferred Qualifications
 <ul>
<li>Experience with search, recommendation, machine learning, information retrieval, natural language processing, ranking, ads, content understanding, or data mining projects.</li>
<li>Familiarity with databases, distributed systems, data pipelines, experimentation, or large-scale backend services.</li>
<li>Experience using data to investigate product, user, or system problems.</li>
<li>Ability to communicate technical ideas clearly and collaborate with cross-functional partners.</li>
<li>Interest in improving search experiences for large-scale consumer products.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
 
The hourly rate range for this position in the selected city is $60- $60.
 
​
 
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
 
​
 
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.
 
​
 
About TikTok
 
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
 
​
 
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.
 
​
 
TikTok Accommodation
 
TikTok 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/RA-request

Machine Learning Engineer Intern (TikTok-Data-Search-Search Quality) - 2026 Start (PhD)

The Church of Jesus Christ of Latter-day Saints

<div>This position is primarily for educational or religious purposes and should be used for providing valuable educational experiences for the Intern. It is to give the Intern an opportunity to see how principles and practices learned in their educational institutions are applied in actual work setting. Under general supervision, the Intern performs work as assigned by the department.</div>
 <div>Responsibilities may vary by assignment depending on department and need. The Intern receives assignments from supervising staff. The Manager reviews the Intern's work occasionally. The supervisor reviews each assignment as it is completed. The Intern is expected to meet rigid and challenging deadlines, work in harmony with other people, take direction on each assignment, and give full attention to detail. Independence in working, tact, and diplomacy are required. Sound judgment of Church doctrine, history, organization, policy and protocol are also expected.</div>
 <div><ul><li>Specific skills used include building Power BI dashboards
</li><li>Writing SQL queries
</li><li>Analyzing data for reporting needs
</li><li>Consolidating and deprecating previous analytic work
</li><li>Documenting meta-data
</li><li>Building machine learning models.
</li></ul>Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement</div>
 <div><div>Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord&rsquo;s work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings&mdash; giving Church members places to worship, teach, learn, and receive sacred ordinances&mdash;our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
</div><div>Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
</div><div>Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.</div></div>

Data Scientist - Paid Intern

Vitalant

<div>At Vitalant, the impact you make doing work that is purposeful, meaningful, and worthwhile is vital. As a member of our non-profit organization, you can be impact-inspired to provide vital clinical services to communities nationwide, vital products to those in need of a donor's generosity, or vital scientific research that advances blood safety worldwide.
Work Shift (if applicable):
Shift 1 (United States of America)
Job Description:
Compensation: $20.00/ hour
Vitalant is hiring a Data Analytics Intern to help advance our life-saving mission through meaningful, data-driven insights. This part-time role offers fully flexible scheduling Monday through Thursday, with opportunities to work 16&ndash;24 hours per week based on your availability during the current school semester and into the Summer break. This internship will work on-site at our Scottsdale, AZ office - remote or hybrid options are not available.
In this Data Analytics Internship, you will:<ul><li>
Support Advanced Analytics initiatives by preparing datasets, conducting exploratory data analysis (EDA), and assisting with machine-learning workflows in Python.</li><li>
Gain hands-on exposure to modern ML techniques used across our program, including tree-based models (XGBoost), neural networks (RNNs), and time-series forecasting approaches.</li><li>
Collaborate with senior analysts, computer scientist and engineers to evaluate model performance and help operationalize insights.</li><li>
Assist with BI and data-engineering tasks, including updating data pipelines, refining semantic models, and maintaining data quality across our BI ecosystem.</li><li>
Work with Power BI and Looker to support ongoing enhancements as we expand our analytics presence.</li><li>
Perform data validation, profiling, and quality checks to ensure accurate, trusted reporting and analytics.</li><li>
Collaborate with cross-functional teams to gain real-world experience building analytics solutions in a complex, mission-driven organization.</li></ul>
This is an exceptional opportunity for students interested in Data Science, Computer Science, or Analytics to develop hands-on skills in BI, cloud technologies, and machine learning while contributing to meaningful, real-world projects that support a life-saving mission. If you are eager to grow in advanced analytics and ML, we would love to hear from you.
Requirements:<div>
Knowledge/ Education</div><div>
Enrolled in a formal intern program at an educational institution required.
</div><div></div><div>Skills/ Abilities</div><div>
Ability to work in a team environment.
</div><div>Able to set priorities, organize and handle a variable workload.
</div><div>Effective oral and written communication skills.
</div><div>Must be self-motivated with good organizational skills.</div><div>
Proficient personal computer skills.
</div><div>
</div><div>Experience</div><div>
No experience required.
</div>Location:
9305 East Via de Ventura Scottsdale, AZ 85258

Job Category:
Administrative Support
Contact Information: careers@vitalant.org
If you are impact-inspired to help others, and making a difference is vital for you, you'll experience a career built on purpose, a company created to care, and a team committed to lead - together.</div>

Data Analytics Internship - On-site in Scottsdale, AZ

Nelnet

<div>Our Vision: We make dreams possible.
Yes, we&rsquo;re a student loan servicer. We&rsquo;re also a technology company, idea incubator, start-up accelerator, and K-12 and higher education expert. At Nelnet, we&rsquo;re so much more than what you think&mdash;and we&rsquo;re just getting started. So, no matter what you want to do in life&mdash;build codes or build brands&mdash;we&rsquo;re the best place to do it.
Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive one-on-one mentorship, competitive pay, casual dress, flexible schedule, intern-specific programming, and meaningful work experience.
Apply to one of our internships today. Your career awaits.
Nelnet&rsquo;s AI Cohort Internship Program is a hands-on experience that offers interns a unique opportunity to work on AI-focused projects across multiple business units within Nelnet. This program is designed to foster a culture of innovation, enhance team AI capabilities, and meet evolving resource needs. Interns will collaborate with various teams, contribute to impactful projects, and gain exposure to AI applications in real business settings.<ul><li><h2 class="jobSectionHeader">
Collaborate with Teams: Work closely with various business units to identify AI-driven opportunities for improved efficiency and productivity.</h2></li><li><h2 class="jobSectionHeader">
Research &amp; Database Management: Assist in building a research database for tracking AI projects and participate in knowledge-sharing initiatives across the organization.</h2></li><li><h2 class="jobSectionHeader">
Project Support &amp; Training: Conduct meetings with various teams to understand project requirements, deliver AI training sessions, and participate in hands-on support for ongoing initiatives.</h2></li><li><h2 class="jobSectionHeader">
Documentation &amp; Knowledge Transfer: Document all project steps, results, challenges, and recommendations for continued progress within teams.</h2></li><li><h2 class="jobSectionHeader">
Final Presentation: Present findings, achievements, and key takeaways to Nelnet leadership and team members at the end of the internship.</h2></li></ul><h2 class="jobSectionHeader">
EDUCATION:
 
Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field.</h2><h2 class="jobSectionHeader">
EXPERIENCE:
</h2><ul><li><h2 class="jobSectionHeader">Previous Internship/Project Experience (Preferred): Experience in AI-related internships, research projects, or personal AI/technology initiatives is a plus, but not required. Experience with data analysis, programming, or AI tool development is beneficial.</h2></li><li><h2 class="jobSectionHeader">
Technical Skills: Familiarity with programming languages such as Python, R, or Java. Experience with AI/ML frameworks, data visualization tools, or database management platforms is highly desirable.</h2></li><li><h2 class="jobSectionHeader">
Problem-Solving &amp; Analytical Experience: Ability to approach complex problems with a structured, analytical mindset and deliver data-driven solutions. Experience using critical thinking to solve challenges is valued.</h2></li><li><h2 class="jobSectionHeader">
Communication &amp; Collaboration: Experience in working in a team setting, collaborating on projects, and effectively communicating ideas to both technical and non-technical team members.</h2></li><li><h2 class="jobSectionHeader">
Project Documentation: Experience in documenting processes, results, and creating clear reports or presentations to convey findings and recommendations is a plus.</h2></li></ul><h2 class="jobSectionHeader">
COMPETENCIES &ndash; SKILLS/KNOWLEDGE/ABILITIES:</h2><ul><li><h2 class="jobSectionHeader">
AI and Data Analysis Knowledge: Strong understanding of artificial intelligence concepts, machine learning models, and data analytics techniques. Familiarity with AI tools, algorithms, and frameworks is an advantage.</h2></li><li><h2 class="jobSectionHeader">
Agentic AI Workflows: Comfortable with exploring how business processes can transform into Agentic AI workflows, and how AI Agents can lead, pair, and hand-off tasks in a multi-agentic environment. The ability to question what components are required&mdash;how data is organized, ethical and security concerns&mdash;will prove beneficial to understanding Agentic conversations.</h2></li><li><h2 class="jobSectionHeader">
Programming &amp; Technical Proficiency: Proficient in programming languages such as Python, R, or Java. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.</h2></li><li><h2 class="jobSectionHeader">
Problem-Solving &amp; Critical Thinking: Ability to break down complex problems into manageable tasks and apply logical reasoning to develop innovative solutions. A strong aptitude for troubleshooting and refining AI models or systems.</h2></li><li><h2 class="jobSectionHeader">
Data Interpretation &amp; Decision-Making: Ability to interpret large datasets and AI-generated insights to inform business decisions. Comfortable leveraging AI tools to analyze data and translate findings into actionable recommendations.</h2></li><li><h2 class="jobSectionHeader">
Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders. Comfortable presenting ideas, findings, and recommendations to a wide audience.</h2></li><li><h2 class="jobSectionHeader">
Collaboration &amp; Teamwork: Demonstrates strong interpersonal skills, working effectively within a team and collaborating across departments. A team player who contributes to collective goals and values diverse perspectives.</h2></li><li><h2 class="jobSectionHeader">
Attention to Detail: Highly detail-oriented with the ability to ensure accuracy in data handling, AI model implementation, and project documentation. Ensures quality control in deliverables.</h2></li><li><h2 class="jobSectionHeader">
Adaptability &amp; Willingness to Learn: Open to learning new technologies and methods within the rapidly evolving AI field. Able to adapt to changing business needs and technological advancements in AI.</h2></li><li><h2 class="jobSectionHeader">
Ethical Awareness: Strong understanding of ethical considerations in AI development, particularly regarding data privacy, algorithmic fairness, and the responsible use of AI technologies.</h2></li></ul>
Pay - $21 - $25/ hourly 
Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone. 
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or corporaterecruiting@nelnet.net. 
Nelnet is a Drug Free and Tobacco Free Workplace. 
Use of Artificial Intelligence in Hiring 
 
We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring</div>

Intern Program - Agentic AI

JPMorganChase

<div>JOB DESCRIPTION 
 
 
At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data &amp; Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Machine Learning Scientist &ndash; Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Job responsibilities
<ul><li>Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
</li><li>Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
</li><li>Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
</li><li>Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
</li></ul>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 2 years of industry or research experience in the field
</li><li>Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
</li><li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
</li><li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
</li><li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
</li></ul>Preferred qualifications, capabilities, and skills
<ul><li>Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
</li><li>Knowledge in search/ranking or Meta Learning
</li><li>Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
</li><li>Published research in areas of Machine Learning or Deep Learning at a major conference or journal
</li></ul>#MLCOE_jobs
#CDAO_CAO_jobs
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence

Indeed

Our Mission As the world&rsquo;s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2026) Day to Day As a Machine Learning Engineer III, you will be a team lead. Your role centers on leveraging AI/ML to ensure a seamless experience for job seekers. You will own one of the team&rsquo;s major workstreams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same. Additionally, you will partner with cross-functional teams, evangelize your team's work, and stay updated with the latest advancements in the field. Responsibilities Partner with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience. Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams Define and clarify project priorities, deliverables, and success criteria in partnership with cross-functional teams. Act as a bridge between technical and non-technical collaborators, facilitating effective communication and comprehension of project goals and outcomes. Mentor and grow other software engineers and Machine Learning Engineers across teams Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International Conference on Learning Representations (ICLR). Skills/Competencies Requires a Bachelor&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master&rsquo;s degree with a minimum of 6 years of experience; or a PhD with 3 years experience Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while partnering across teams Solid knowledge of data structures and algorithms Sense of ownership and accountability as a key contributor in the technical and product domains Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) Excellent written and verbal communication in English, effective with technical and business audiences Salary Range Transparency Tier 1 - United States of America $163,000 - 245,000 USD per year Tier 2 - United States of America $182,000 - 272,000 USD per year Tier 3 - United States of America $199,000 - 299,000 USD per year Tier 4 - United States of America N/A Tier 5 - United States of America $227,000 - 341,000 USD per year Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role. Benefits - Health, Work/Life Harmony, &amp; Wellbeing We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company&rsquo;s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, &amp; perks at https://www.indeed.com/careers/benefits! Equal Opportunities and Accommodations Statement Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We&rsquo;re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit https://www.indeed.com/careers/accommodations. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers). Inclusion &amp; Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we&rsquo;re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. Indeed&rsquo;s Employee Recruiting Privacy Policy Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site&rsquo;s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs. Agency Disclaimer Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an &quot;Agency&quot;), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. AI Notice Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making. Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws. Reference ID: 47365 The deadline to apply to this position is 08/05/2026 Job postings may be extended at the hiring team&rsquo;s discretion based on applicant volume. 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. Reference ID: 47365

Machine Learning Engineer III

Smart Eye

<div>
 Smart Eye is the leading provider of Human Insight AI, technology that understands, supports and predicts human behavior in complex environments. The company is on a mission to bridge the gap between humans and machines for a safe and sustainable future. Supported by Affectiva and iMotions &ndash; companies it acquired in 2021 &ndash; Smart Eye&rsquo;s multimodal software and hardware solutions provide unparalleled insight into human behavior.
 
 
 In automotive, Smart Eye&rsquo;s driver monitoring systems and interior sensing solutions improve road safety and the mobility experience. The company&rsquo;s eye tracking technology and iMotions biosensor software platform are also used in behavioral research to enable advanced research in academic and commercial sectors. In media analytics, Affectiva&rsquo;s Emotion AI provides the world&rsquo;s largest brands and market researchers with a deeper understanding of how consumers engage with content, products, and services.
 
 
 Founded in 1999, Smart Eye is a global company headquartered in Sweden, with customers including NASA, Nissan, Boeing, Honeywell, Volvo, GM, BMW, Polestar, Geely, Harvard University, 26 percent of the Fortune Global 500 companies, and over 1,300 research organizations around the world.
 
 
 Visit
 
 www.smarteye.ai
 
 for more information.
 
 
 You will be part of one of Smart Eye's algorithm development teams responsible for development in key areas such as head- and eye-tracking, attentiveness and drowsiness, face identification and interior sensing for our Automotive Cabin and Driving Monitoring product. We work in an international environment with colleagues in Gothenburg (SE) and Boston (US).
 
 
 We are building safety features in novel technology that will significantly improve road safety and will transform our transportation experiences. Safety features such as determining people&rsquo;s seating locations in a vehicle, if they are wearing seat belts, and detection of left-behind children, as well as features that enhance comfort, wellness, and entertainment by detecting occupants&rsquo; emotions and gestures.
 
 
 Development activities range from early-stage prototyping to porting and deployment to a wide set of automotive embedded platforms. And you will be responsible for the complete chain of development activities including protocols for data collection, network architecture, training of networks, exploratory data analysis and visualization, but also integration into and validation of the model in the production software.
 
 
 We solve these challenging problems by utilizing state-of-the-art algorithms in the fields of image processing, the latest machine learning techniques, mathematics, and accelerated computing.
 
 
 You will have an active impact on the processes and projects and will work in close cooperation with other talented team members. Your contribution to how we can meet our customers' needs with tomorrow's technology will be of crucial importance.
 
 
 Who are you?
 
 
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 We welcome all types of personalities and believe in a true mix of people to create a dynamic work environment.
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 You're able to work independently in an environment that changes rapidly.
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 Exhibit a positive, enthusiastic, open, entrepreneurial attitude and a willingness to work closely with customers or other teams within Smart Eye.
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 Possess strong analytical, creative skills with a strong interest in new technologies.
 
 
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 Must-have-skills
 
 
 
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 Degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in computer vision or machine learning.
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 Experience using end-to-end development of machine learning based systems (design, planning, evaluation, deployment).
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 3+ years of software development experience.
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 3+ years of work experience in C++ and Python development.
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 Strong communication and team collaboration skills.
 
 
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 Good-to-have-skills
 
 
 
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 Experience in optimizing Deep Learning model architectures and inference runtimes (ex. Tensorflow, Tensorflow Lite, PyTorch).
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 Experience in one or more fields of image processing or graphics programming.
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 Experience with CI/CD (Continuous Integration and Deployment).
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 Experience in developing software for the Automotive industry.
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 Familiar with Agile methodologies (has worked with Git, Jira and alike).
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Machine Learning Engineer

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