machine learning intern

Intuition Machines, Inc.

<div>Intuition Machines builds enterprise security products with an AI/ML focus. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration. 
 
We are seeking a Machine Learning Intern to work on applied computer vision pipelines across multiple products, leveraging the latest methods. The ideal candidate will do applied research, translate technical specifications into impactful solutions, and optimize against rigorous performance and quality constraints.<h3 class="jobSectionHeader"> 
 
What you will do:</h3><ul>
<li>Experiment with, implement, and evaluate ML models in the visual domain, along with other computer vision approaches.</li>
<li>Iterate quickly, focusing on early and frequent deployment.</li>
<li>Write well-structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.</li>
<li>Participate in code reviews and architecture &amp; design sessions. Stay updated on recent technological developments and assess their applicability.</li>
</ul><h3 class="jobSectionHeader"> 
What we are looking for:</h3><ul>
<li>Thoughtful, conscientious, and self-directed individual.</li>
<li>Strong knowledge of computer vision.</li>
<li>Solid Python programming experience.</li>
<li>Experience with at least 2 of:</li>
<li><ul><li>applying ML to computer vision problems</li>
<li>fine-tuning generative vision models</li>
<li>creative coding and developing generative algorithms</li>
<li>prompt engineering (for language and vision models)</li>
</ul></li><li>Understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.</li>
<li>Bachelor's Degree or an equivalent in a STEM field from an accredited college or university, or equivalent job experience.</li>
<li>Excellent communication, listening, and presentation skills to engage with diverse audiences.</li>
</ul><h3 class="jobSectionHeader"> 
Nice to Have:</h3><ul>
<li>Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus).</li>
<li>Software engineering/development experience with large-scale distributed systems.</li>
<li>Ability to collaborate with ML DevOps engineers to integrate your work into infrastructure, including automating observability, deployment, quality, and security.</li>
</ul><h3 class="jobSectionHeader"> 
What we offer:</h3><ul>
<li>Fully remote position with flexible working hours.</li>
<li>An inspiring team of colleagues spread all over the world.</li>
<li>Mentoring and support in learning advanced ML, computer vision, and cybersecurity methods.</li>
<li>Pleasant, modern development and deployment workflows: ship early, ship often.</li>
<li>High impact: lots of users, happy customers, high growth, and cutting edge R&amp;D.</li>
<li>Flat organization, direct interaction with customer teams.</li> 
</ul> 
We celebrate diversity and are committed to creating an inclusive environment for all members of our team.
Join us as we transform cyber security, user privacy, and machine learning online!</div>

Machine Learning Intern - Computer Vision

AOW INFORMATION TECHNOLOGY PRIVATE LIMITED

Job DescriptionWe are looking for a motivated and analytical Data Scientist Intern to support our data and analytics team. The intern will work on real-world datasets to derive insights, build machine learning models, and support data-driven decision-making while gaining hands-on industry experience.Key Responsibilities<ul><li>Collect, clean, and preprocess structured and unstructured datasets</li><li>Perform exploratory data analysis (EDA) to identify trends and patterns</li><li>Build and evaluate machine learning models for regression, classification, and clustering problems</li><li>Assist in feature engineering and model optimization</li><li>Visualize insights using charts and dashboards</li><li>Document findings and present insights to the team</li><li>Collaborate with cross-functional teams to support business use cases</li></ul>Required Skills<ul><li>Strong knowledge of Python</li><li>Understanding of Machine Learning concepts (Regression, Classification, Clustering)</li><li>Hands-on experience with Pandas, NumPy, Matplotlib / Seaborn</li><li>Basic knowledge of Scikit-learn</li><li>Understanding of statistics and data analysis</li><li>Basic SQL knowledge</li></ul>Good to Have (Added Advantage)<ul><li>Exposure to Artificial Intelligence (AI) concepts</li><li>Basics of Deep Learning / NLP</li><li>Knowledge of Power BI / Tableau</li><li>Familiarity with Git / GitHub</li><li>Academic or personal ML / AI projects</li></ul>Education<ul><li>Bachelor&rsquo;s degree or currently pursuing graduation in Computer Science, Data Science, AI/ML, or a related field.</li></ul>Benefits<ul><li>Internship certificate upon successful completion</li><li>Pre-Placement Offer (PPO) based on performance</li><li>Real-time, hands-on industry work experience</li><li>Paid internship</li></ul>Job Types: Full-time, Permanent, Fresher, InternshipPay: ₹8,000.00 - ₹15,000.00 per monthWork Location: In person

Data Scientist Intern

Accusoil Agri technologies PVT LTD

Job Description (JD)Position: Data Science Intern Employment Type: Internship to Full-Time Department: Data Science / Analytics / AIJob SummaryWe are looking for a motivated and skilled Data Science Intern with strong expertise in Python, SQL, and Artificial Intelligence. This role is structured as an internship with the opportunity to transition into a full-time position based on performance. The intern will work on real-world data problems, build analytical and AI-driven solutions, and support data-driven decision-making across the organization.Key Responsibilities<ul><li>Analyze large datasets to extract meaningful insights</li><li>Write efficient queries using SQL for data extraction and analysis</li><li>Develop data processing and analysis scripts using Python</li><li>Build, train, and evaluate machine learning and AI models</li><li>Perform data cleaning, validation, and feature engineering</li><li>Visualize data and present insights to stakeholders</li><li>Collaborate with engineers and product teams to integrate AI solutions</li><li>Document models, processes, and findings clearly</li></ul>Required Skills &amp; Qualifications<ul><li>Strong hands-on experience with Python</li><li>Proficiency in SQL for data analysis and reporting</li><li>Good understanding of AI / Machine Learning concepts</li><li>Experience with data manipulation libraries (NumPy, Pandas, etc.)</li><li>Knowledge of basic statistics and data analysis techniques</li><li>Ability to work with structured and unstructured data</li><li>Strong analytical and problem-solving skills</li></ul>Preferred (Nice to Have)<ul><li>Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch)</li><li>Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, etc.)</li><li>Exposure to cloud platforms or big data tools</li><li>Understanding of model deployment and MLOps basics</li></ul>Career Growth<ul><li>Structured internship period with hands-on project exposure</li><li>Full-time role opportunity based on performance and business needs</li><li>Mentorship from experienced Data Scientists and AI engineers</li></ul>Job Types: Full-time, Fresher, InternshipPay: Up to ₹10,000.00 per monthWork Location: In person

Data Science Intern

Genentech

<div><div><div>THE POSITION</div>
2026 Summer Research Intern, LLM and Generative AI - BRAID
Department Summary
Genentech, a biotechnology leader, seeks an outstanding machine learning intern to contribute to cutting-edge research at the Deep-Learning Theory and Algorithms (DELTA) and Regulatory Language Understanding (ReLU) labs within the Biology Research | AI Development (BRAID) department in the Computational Sciences Center of Excellence (CS-CoE). Our labs are dedicated to advancing machine-learning research to support drug discovery efforts, focusing on foundational models, LLMs, and generative AI, particularly in the realms of Agentic AI, multi-modal settings, instructional tuning, and knowledge retrieval. We are committed to driving innovation through cutting-edge ML methods with real-world impact in genomics research and drug discovery. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
This internship position is located in South San Francisco, on-site.
Position Overview:
Join us for a 12-week summer internship (full-time, 40 hours per week) in 2026 at our South San Francisco location (on-site). The start date can be May 18 or June 1, offering an exciting opportunity to work alongside our collaborative research team of machine learning scientists, computational biologists, and chemists, and make a substantial contribution to the field.
The Opportunity<ul><li>
Research, design, and implement novel cutting-edge research in AI with applications to drug discovery.</li><li>
Drive research on (large-scale) generative AI methods for scientific challenges.</li><li>
Collaborate closely with cross-functional teams across gRED to tackle complex problems.</li><li>
Contribute to and lead publications, presenting results at internal and external scientific conferences, and making code and workflows open source.</li></ul>
Program Highlights<ul><li>
Intensive 12-weeks, full-time (40 hours per week) paid internship.</li><li>
Program start dates are in May 18 or Jun 1, 2026</li><li>
A stipend, based on location, will be provided to help alleviate costs associated with the internship.</li><li>
Ownership of challenging and impactful business-critical projects.</li><li>
Work with some of the most talented people in the biotechnology industry.</li></ul>
Who You Are
Required Education
Must be pursuing a PhD (enrolled student).
Required Majors
Computer Science, Electrical Engineering, Statistics, Computational Biology or a closely related field with a core academic focus on machine learning, artificial intelligence and computational theory.
Required Skills:<ul><li>
Enrolled in a PhD program where your core focus is on machine learning, artificial intelligence, computational theory, or a related field.</li><li>
Proven publication record in top ML conferences (e.g., NeurIPS, ICML, ICLR).</li><li>
Strong expertise in Generative AI and LLMs.</li><li>
Advanced programming skills in frameworks such as PyTorch, TensorFlow, or JAX.</li><li>
Excellent communication and teamwork skills.</li></ul> 
Preferred Knowledge, Skills, and Qualifications:<ul><li>
Familiarity with AI agents, fine-tuning methods (e.g., SFT, RLHF, RL with experimental feedback), prompt engineering, PRM, and LLM calibration techniques.</li><li>
Familiarity with ML topics such as uncertainty quantification, conformal prediction, or offline RL.</li><li>
Experience in developing and applying Generative models for scientific applications.</li><li>
Knowledge of biological domains such as sequence design, perturbation biology, or target discovery.</li></ul>
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of CA is $50.00 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Internships &amp; Co-ops
</div><div>Schedule
Full time
</div><div>Job Type
Temporary (Fixed Term)
</div><div>Posted Date
Jan 9th 2026
</div><div>Job ID
202601-100223</div></ul></div></div></div></div>

2026 Summer Research Intern, LLM and Generative AI - BRAID

Peak

<div>
 
 Are you excited to explore and interpret complex datasets to influence strategic decisions? We're looking for enthusiastic and driven 4th-year university students to join our Data Science team as summer interns!
 
 
 
 
 
 As a Data Science Intern at Peak, you will have the opportunity to work closely with experienced professionals in the field, gaining valuable hands-on experience and contributing to real-world projects in the mobile gaming industry.
 
 
 
 
 
 
 What you&rsquo;ll do during your internship
 
 
 <ul>
 <li>
 Analyze data from sources like player behavior, in-game metrics, and market trends
 </li>
 <li>
 Develop predictive models, machine learning algorithms, and data-driven solutions
 </li>
 <li>
 Conduct exploratory analysis to uncover insights and guide strategy
 </li>
 <li>
 Support A/B testing, cohort analysis, and user segmentation
 </li>
 <li>
 Create dashboards and reports to share findings with stakeholders
 </li>
 <li>
 Experiment with new tools and techniques in data science and analytics
 </li>
 </ul>
 
 
 
 
 
 What we're looking for
 
 
 <ul>
 <li>
 Currently enrolled in university, in your 4th year of studies
 </li>
 <li>
 Available to work full-time at our Istanbul office for 8 weeks during summer 2026
 </li>
 <li>
 Proficiency in Python and SQLFoundational knowledge of statistics and machine learning concepts
 </li>
 <li>
 Strong interest in data science and its applications in gaming
 </li>
 <li>
 Personal projects demonstrating practical data science or analytics skills are a plus
 </li>
 </ul>
 
 
 
 
 
 Hiring process
 
 
 
 The internship period will be between July 1st and August 28th, 2026. Once you have been selected, you will get a technical assignment through HackerRank to assess your engineering skills.
 
 
 
 
 
 Following your assessments the next steps will be:
 
 <ul>
 <li>
 Online HR &amp; Tech interview
 </li>
 <li>
 Online final interview
 </li>
 </ul>
 
 
 
 
 Last day to apply is February 1st, 2026.
 
 
 
 
 
 We hope to hear from you soon!
 
 
 
 
</div>

Summer Intern, Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential&mdash;and excitement for the journey ahead.
 
 
 As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
 
 
 At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You&rsquo;ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
 
 
 Microsoft&rsquo;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.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Formulate approaches to solve problems using well defined algorithms and data sources
 </li>
 <li>
 Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
 </li>
 <li>
 Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
 </li>
 <li>
 Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
 </li>
 <li>
 Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
 </li>
 <li>
 Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
 </li>
 <li>
 Must have at least one additional quarter/semester of school remaining following the completion of the internship
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science INTERN

Midas Technologies

<div>
 Sep 1, 2025
 
 
 
 Job Description
 
 
 
 Midas Technologies is seeking motivated Algorithmic Trader-Engineer interns to join our team. As an intern, you will have the opportunity to research, implement, and operate intraday trading systems in production environments. Successful completion will lead to full-time employment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own a venue pod (e.g., index futures, commodities futures, ETF options, etc.)
 </li>
 <li>
 Operate and monitor production trading systems during market hours
 </li>
 <li>
 Maintain and improve tools for data analysis
 </li>
 <li>
 Analyse market data and execution data to explore trading ideas
 </li>
 <li>
 Design and implement strategy improvements
 </li>
 <li>
 Test and deploy models and strategies
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field
 </li>
 <li>
 In penultimate or final year of study for internship eligibility
 </li>
 <li>
 0-2 years of experience in software development or production trading environment
 </li>
 <li>
 Fluency in Python and C++
 </li>
 <li>
 Experience with real-world applications of machine learning
 </li>
 <li>
 Background in one or more of the following areas: computer vision, natural language processing, reinforcement learning, or big data analytics
 </li>
 <li>
 Experience with software development practices, including version control (e.g., Git)
 </li>
 <li>
 Familiarity with Unix-based operating systems (e.g., Linux) and shell scripting
 </li>
 <li>
 Good attention to detail
 </li>
 <li>
 Strong numerical and quantitative analysis skills
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 <li>
 Eligible to work in the People&rsquo;s Republic of China
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 <ul>
 <li>
 Internship stipend starting at 1500 RMB / day, commensurate with experience and qualifications
 </li>
 <li>
 Meals provided on working days
 </li>
 <li>
 Relocation assistance if applicable
 
 
 </li>
 </ul>
 At Midas Technologies, we offer an enriching learning environment and exposure to cutting-edge technologies in a fast-paced, high-stakes industry. If you are passionate about algorithmic trading and eager to gain hands-on experience, we encourage you to apply.
 
 
 Midas Technologies
 
 
 Midas Technologies is an electronic market maker in APAC listed derivatives.
</div>

Algorithmic Trader-Engineer Intern

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