Top Intern Jobs

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art. 

General Description: 

Help design and develop AI Engineering software and services applicable to the full AI Engineering lifecycle. Help build Machine Learning Operations (MLOps) environments, perform synthetic and real-world data collection/curation, and interface with other software engineers, scientists, and PI/PMs performing AI research and algorithm development.

Essential Duties:

Development of AI / Machine Learning software, tools, and services.

Required Skills: 

Python, C++, PyTorch, Tensorflow, and agile software development tools and techniques, self-hosted (on-premises) AI software services and supporting tools, e.g. Weights and Balances (wandb), Neptune, Optuna, MLFlow, GitLab CI/CD, GitLab runners, Docker/containerization, etc.

Familiarity with existing AI Software Engineering techniques, tools, and services. Experience with ML hyperparameter optimization, ML model repositories, data/object storage (e.g. S3 based data lakes, data warehouses, and lakehouses), and data versioning. Experience in developing reproducible ML pipelines is also desirable, i.e. automated ML workflows for data transformation (ETL/ELT), correlation, testing, evaluation, training, and deployment stages. Ability to develop and deploy services and applications in a hybrid cloud environment is beneficial.

Required Education: 

Existing student pursuing a Masters degree in Artificial Intelligence related field, e.g. Computer Science, Machine Learning, Software Engineering, Cognitive Science, Data Science, Statistics, etc.

Special Requirements:

Active security clearance or ability to obtain one is desirable. 

Compensation:

The pay range for this position $35 - $50 per hour.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific range during the hiring process. 

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

Job description

We are looking for a Software Development Intern to help us with coding, fixing, executing and versioning existing code for applications. If you're passionate to solve real time fundamental problems, explore, learn and work on technologies out of scope, Netomi is the perfect place for you.

Job Responsibilities

• Assist in planning, design and execution of SOA backend platforms. Mostly around REST based Web Frameworks using JAVA (Spark,Spring, ORM)
• High level and Low level design of the highly scalable components
• Works collaboratively in a multi-disciplinary team environment
• Assist key technical advisors to define the roadmap of project

• Experience on some scripting language for automated build/ deployments, preferably Java
• Pursuing B.E./B.Tech in Computer Science from tier I & II institutes

Internship duration - 6 months and based on performance we can offer PPO.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Immuta is the leader in automated data access so that organizations can achieve data compliance. Only Immuta can seamlessly integrate with the leading cloud data platforms to manage and enforce data policies at scale so that users get access to the right data at the right time. Data-driven organizations around the world rely on Immuta to speed time to value, safely share more data with more users, and mitigate the risk of data leaks and breaches. 

- Immuta has been recognized by Forbes as a top american startup employer, by Inc. Magazine as one of the best workplaces, and by Fast Company as one of the top 50 most innovative companies 

- Customers include Aon, Credit Suisse, Daimler, S&P Global, U.S. Army, and Atlassian. Over half of the top banks now use Immuta

- Partners include Databricks, Snowflake, AWS, Azure, Google Cloud, and Starburst 

- $169 million in total venture capital funding. Investors include Greenspring Associates, March Capital, Ten Eleven Ventures, Intel Capital Corporation, NGP Capital, DFJ Growth, Dell Technologies Capital, Citi Ventures, Inc, Wipro Ventures, and Okta Ventures

- Major offices in Boston, Massachusetts; Columbus, Ohio; and, College Park, Maryland

PLEASE NOTE: THIS INTERNSHIP IS FOR SUMMER 2024. WE WILL BEGIN REVIEWING APPLICATIONS IN SEPTEMBER 2023.

You'll work on the Product Team bringing new features and capabilities to Immuta's product. This team is a highly skilled group of full stack engineers and designers that works with a variety of languages and technologies to build a reliable scalable application suite capable of integrating and virtualizing data across storage technologies and delivering data to users in a policy-compliant and audit-able manner.

YOUR ROLE

You will assist with the development and maintenance of Immuta's commercial product suite. Immuta's product addresses complex issues within enterprise IT including virtual data integration, data governance, data consumption for analytic purposes, and data scientist collaboration. This set of features is integrated into a single web UI to speed responsible data science. 

You will be exposed to and work within Node.JS and AngularJS to help build a responsive and scalable web application. Additionally, they work with Docker to build a scalable collaboration environment as well as PostgreSQL (SQL and C) to integrate flexible policy management into Immuta's SQL connector.

Because of the data-centric aspect of the product, Product Engineering Interns also often work with a variety of databases and storage technologies to integrate compatibility with those technologies into the product.

We're looking for students who...

Are actively pursuing a Bachelor's degree in a technical field (ie. Computer Science), preferably in your 2nd or 3rd year

Are outstanding problem solvers and can tackle tough challenges with innovative thinking and determination.

Are good communicators and can work effectively in a collaborative environment. 

Have a thorough understanding of at least one programming language and associated libraries and have a willingness to learn more.

TECHNOLOGIES YOU'LL USE

JavaScript

TypeScript

Node.js / AngularJS

Docker

Immuta provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, marital status, age, disability (including disability due to pregnancy) or genetics, protected veteran status, or any other characteristic protected by law. Immuta complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment.

About us

Gogolook is a leading TrustTech company established in 2012. With Build for Trust as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields.

Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Police Cyber Taskforce and the Fukuoka city government to fight fraud and ultimately, to build a trustworthy communication network across the world.

Why you should join Gogolook

1. Influential products: What we make are meaningful products that create values for society and defend against frauds.

2. Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.

3. Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.

4. Transparent culture: We publicly share the company's information to all, every member can read and feedback, and become a part of participating in the proposal.

Gogolook 全新事業方向 - 人資科技 (HR Tech)，基於 Build For Trust 的核心，協助企業與求職者都找到適合的彼此，打造新一代的 SaaS 服務。

Why you should join:

1. 從0到1參與全新 SaaS 從發想、設計、開發、上市、行銷、銷售、客服等完整的過程

2. 參與產品規劃與實作內容行銷、關鍵字行銷、行銷自動化的過程

3. 與產品設計師、PM等其他職能合作

4. 可以接觸到新一代的人資科技產品

Missions

• 撰寫人資科技相關Blog
• 製作產品行銷所需之內容 (產品介紹文案、影片)
• 參與協助 SEO (關鍵字優化) 與 SEM (關鍵字行銷)
• 協助其他輔助產品上線所需之工作 (舉辦線上線下活動)

• 對於人資科技 (HR Tech) SaaS (B2B) 產品有高度興趣
• 有良好的口語溝通能力
• 有良好的文字表達能力，可以簡短清楚表達要說的內容
• 有良好的英文閱讀能力，可以透過工具協助，翻譯並總結英文文章
• 喜愛撰寫內容，不會認為撰寫大量內容是沉悶的工作
• 熟悉使用Google Docs、Google sheet、Google slides…等雲端工具
• 每週至少配合固定2-3天以上全天 (星期一和五尤佳)，至少6個月實習時間

• 在學校專題或專案中，擔任過組長的經驗
• 熟悉使用 ChatGPT、Midjourney、Notion AI等生成式AI工具
• 有經營自己的社群媒體
• 有過撰寫Blog、行銷文案的經驗

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art. 

General Description: 

Help develop AI Engineering software and services applicable to the full AI Engineering lifecycle. Help build Machine Learning Operations (MLOps) environments, perform synthetic and real-world data collection/curation, and interface with other software engineers, scientists, and PI/PMs performing AI research and algorithm development.

Essential Duties:

Development of AI / Machine Learning software, tools, and services.

Required Skills: 

Python, C++, PyTorch, Tensorflow, and agile software development tools and techniques, self-hosted AI software services and supporting tools, e.g. Weights and Balances (wandb), Neptune, Optuna, MLFlow, GitLab CI/CD, GitLab runners, Docker/containerization, etc.

Familiarity with existing AI Software Engineering techniques, tools, and services. Experience with ML hyperparameter optimization, ML model repositories, data/object storage (e.g. S3 based data lakes and data warehouses), data versioning, and reproducible ML pipelines are also desirable, i.e. automated workflows for data transformation (ETL/ELT), correlation, testing, evaluation, training, and deployment stages. Ability to develop and deploy services and applications in a hybrid cloud environment is beneficial.

Required Education: 

Existing student pursuing an undergraduate degree in Artificial Intelligence related field, e.g. Computer Science, Machine Learning, Software Engineering, Cognitive Science, Data Science, Statistics, etc.

Special Requirements:

Active security clearance or ability to obtain one is desirable. 

Compensation:

The pay range for this position is $22 - $35 per hour.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific range during the hiring process. 

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art. 

General Description: 

Design and supervise the development and deployment of AI Engineering software and services applicable to the full AI Engineering lifecycle. Build Machine Learning Operations (MLOps) environments, supervise synthetic and real-world data collection/curation, and interface with other software engineers, scientists, and PI/PMs performing AI research and algorithm development.

Essential Duties:

Design and development of AI / Machine Learning software, tools, and services.

Required Skills: 

Python, C++, PyTorch, Tensorflow, JAX, and agile software development tools and techniques, self-hosted (on-premises) AI software services and supporting tools, e.g. Weights and Balances (wandb), Neptune, Optuna, MLFlow, GitLab CI/CD, GitLab runners, Docker/containerization, etc.

Familiarity with existing AI Software Engineering techniques, tools, and services. Experience with ML hyperparameter optimization, ML model repositories, data/object storage (e.g. S3 based data lakes, data warehouses, and lakehouses), and data versioning. Experience in developing reproducible ML pipelines is also desirable, i.e. automated ML workflows for data transformation (ETL/ELT), correlation, testing, evaluation, training, and deployment stages. Ability to develop and deploy services and applications in a hybrid Kubernetes cloud environment is beneficial.

Required Education: 

Existing student pursuing a PhD degree in Artificial Intelligence related field, e.g. Computer Science, Machine Learning, Software Engineering, Cognitive Science, Data Science, Statistics, etc.

Special Requirements:

Active security clearance or ability to obtain one is desirable. 

Compensation:

The pay range for this position is $50 - $55 per hour.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific range during the hiring process. 

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art. 

Essential Duties:

Conduct research on the latest advancements and techniques in Natural Language Processing (NLP), as well as assisting in the design, development, and implementation of NLP algorithms and models. The role involves collecting, preprocessing, and analyzing textual data for NLP tasks, collaborating closely with the team to evaluate and enhance existing NLP models and systems. Additionally, the candidate will have the opportunity to explore and experiment with various NLP frameworks, libraries, and tools. Active participation in team meetings and discussions to contribute ideas and insights is expected. Furthermore, the candidate will contribute to software development efforts by constructing deployable NLP systems and infrastructure.

Required Skills:

•Strong understanding of NLP concepts, algorithms, and techniques.

•Proficient in at least one major coding language (e.g., Python, Java, C++) and machine learning framework (e.g., PyTorch, TensorFlow).

•Familiarity with NLP libraries and frameworks such as NLTK, spaCy, HuggingFace.

•Solid understanding of traditional NLP techniques, such as semantic parsing, named entity recognition, part-of-speech tagging, syntactic parsing, and information extraction.

•Knowledge of the latest developments in Large Language Models (LLMs) like GPT-3, GPT-4, or similar models.

•Strong communication and teamwork abilities.

•Understanding of common challenges and limitations of existing NLP techniques and the ability to propose innovative solutions.

•Ability to optimize and develop lightweight LLMs for deployment in resource-constrained environments.

•Publications in top-tier research conferences and journals.

Required Education:

Currently pursuing a M.S. or Ph.D. in Computer Science, Data Science, Network Science, Applied Math, Statistics, EE or related fields.

Compensation:

The pay range for this position $35 - $50 per hour.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related 

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy

Come and be a Data Scientist Advocate Intern for TruEra, a leading AI startup that Fast Company named a “Most Innovative Company in AI.”

The Data Scientist Advocate Intern will be responsible for helping TruEra to educate and engage the data science community across multiple channels. In this role, you’ll be responsible for creating high-value content, such as blogs, articles, and social media posts. You will also participate in data science communities and help to grow the TruEra data scientist community.

This role reports to the Director of Strategy and can work closely with Research and Engineering team members.

If you’re looking for the opportunity to have a significant impact working in a hot, emerging field, while developing as a professional, this is the opportunity for you.

What You Will Be Doing

• Research and create content about machine learning topics (such as core ML concepts, LLMs, ML Monitoring, and ML Testing) and ML use cases. Content creation involves writing compelling blogs and social media posts.
• Help interact and engage with data science communities, including TruEra’s own community.
• Assist with data science outreach through online and virtual events. 
• Identify, articulate, and promote compelling ML use cases through various channels
• If there is interest, the role can also involve video production or the creation of presentations for data science education.

• Pursuing a bachelor’s, master’s, or PhD degree in a broadly relevant field, such as data science, computer science, statistics, mathematics, applied mathematics, or depth of coursework in these areas.
• Technical skills that demonstrate a grasp of data science and engineering fundamentals - you can source and prep data, have used statistical computer languages (R, Python, etc.), can create or adapt ML models, and visualize data.
• Strong writing skills and comfortable with illuminating technical topics at varying levels of detail.
• Curious about  or experienced with working across multiple forms of media (blogs, videos, photos, graphic design), communication channels (Twitter, LinkedIn, Slack, etc.), and communities (Reddit, Discord, Stack Overflow, etc.)
• Enjoy interacting with people and are excited about helping others to be successful in data science and machine learning

Work Environment

TruEra is a diverse, global company that is headquartered in Redwood City, CA. There are additional offices in Bellevue, WA, and the United Kingdom. To maximize interaction with the team, we prefer intern candidates in the SF Bay Area (hybrid), the US West Coast (remote), or in Europe (remote).

Compensation & Benefits

TruEra offers competitive compensation, commensurate with experience. This is a full-time internship position.

About Got It AI

Got It AI has transformed the human-to-human and human-to-machine conversational ecosystem by developing the world's first fully autonomous conversational AI that leverages state-of-the-art technologies such as Generative AI and Large Language Models. Got It AI, led by an experienced leadership team with a proven track record, is making a positive difference in a variety of industries, including education, finance, and e-commerce, by deploying multiple AI applications. We are looking for individuals who are enthusiastic about developing revolutionary technology while having fun.

Role

At Got It, Machine Learning Engineers and Scientists develop cutting-edge technology and integrate it into our conversational AI platform. Our engineers and scientists bring fresh ideas from a diverse set of areas, including natural language processing, speech, and conversational AI, cloud computing, large-scale system design, security, artificial intelligence, UI design, and more. We need our team to be enthusiastic and versatile, display leadership, and take on problems across the full stack.

As an ML intern, you would work with mission-critical projects. With your technical expertise, you will get the opportunity to work on state-of-the-art Conversational AI and NLP research such as Generative AI, Unsupervised and Zero-shot Learning, Transformers based Large Language Models, No Code AI, Language Understanding, Natural language generation, Information Retrieval, and Speech Recognition.

Minimum requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
• 2+ years of domain expertise in Machine Learning, Generative AI, NLP, or Artificial Intelligence
• Experience with one or more general-purpose programming languages including but not limited to: Python, Java, or C/C++
• Strong software design and development skills and experience working effectively with science, data processing, and software engineering teams
• Proven track record of innovation
• Excellent written and spoken communication skills
• Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries)
• Entrepreneurial spirit combined with strong architectural and problem-solving skills

• Ph.D. with specialization in one of the following areas: NLP, Generative AI, Conversational AI, or Machine Learning
• 5+ years of experience with one or more of the following: Natural Language Processing, Conversational AI, Speech Recognition, Computer Vision, Reinforcement Learning, Text Understanding, Classification, Pattern Recognition, Recommendation Systems, Ranking Systems, or similar
• Strong publication record

At ION:

We want to innovate the financial services offered by commercial/retail banks in Italy in the areas of wealth management, credit lending, risk management and compliance. Building on our consolidated expertise and product offering in the Capital Markets domain, we want to scale our solutions and frameworks to the commercial/retail banking industry. To do so, we start from the quantitative modelling and analysis of the current processes put in place by our customers, so that we can profile opportunities of automation and prioritize client needs on manual/painful workflows. The resource will be involved in business process analyses of Italian commercial/retail financial institutions and is expected to integrate structured information extracted from interviews with the analysis of literature and documentation to build a quantitative picture of the AS-IS. The analysis will then be complemented with a consequent implementation analysis and product roadmap definition to design the TO-BE and drive product evolutions and developments. The project entails modelling complex business contexts, extracting structured information from unstructured sources, performing quantitative analyses, presenting findings and recommendations to external clients and internal stakeholders, contributing to the definition of product backlogs. ​

What you will learn during your intern:

-          Quantitative modelling of business processes

-          Codification of customer requirements, needs, activities

-          Business intelligence with PowerBI/Excel - Packaging high-quality deliverables for external clients –

-          Data manipulation with Pandas or Spark/Hive  ​

What you need to know:

-          Hands-on experience with BI tools (Excel, PowerBI)

-          Experience with Python data science libraries (pandas, pyspark, sklearn) is nice to have ​

-          Fluent English

We are looking for someone who:

-          is passionate about modelling unknown business contexts with a quantitative approach

-          can find a good trade-off between quality and speed of delivery

-          proactively contribute your insights and ideas in a way that fits existing frameworks of the firm

-          is fond of sharing knowledge with colleagues and documenting your work ​

Data Science Interns at QuantCo's European offices will learn what it takes to create impact from data: identifying the right framework and questions to translate a business challenge into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.

We are looking for team players who have excellent quantitative abilities and:

• A major, minor, or research focus in economics, statistics, mathematics, computer science, engineering, physics, or similar fields at a leading university (B.Sc., M.Sc., or PhD)
• In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests
• Experience in coding and working with data (from a previous research or industry internship or extensive course projects) using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git
• Ability to see solutions and opportunities that others do not see
• High level of commitment and reliability, good balance of pragmatism and perfectionism
• Business proficiency in English and conversational proficiency in German for our German and Swiss offices

• SQL
• Tensorflow
• Keras
• Cloud infrastructure
• Docker
• Lower-level languages like C#/C++/C

What we offer

You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, relocation and housing support along with additional location-based benefits. We accept internship applications year-round for summer and off-cycle periods.

About QuantCo

At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 140 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.

Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.

We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.

QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.