Internship - Machine Learning Research Engineer
perplexity
Job Score
90 ptsInternship Program Berlin
Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
Responsibilities
Relentlessly push search quality forward — through models, data, tools, or any other leverage available.
Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models.
Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval.
Build and optimize RAG pipelines for grounding and answer generation.
Qualifications
Understanding of search and retrieval systems, including quality evaluation principles and metrics.
Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.
Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation.
Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Web Master
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Key skills include server management (Apache, Nginx), hosting (AWS, Google Cloud, Azure), CDN (Cloudflare), SSL, DNS, web security (WAF, firewall), performance (Core Web Vitals, cache, compression), and versioning (Git, CI/CD). Knowledge of Docker, WordPress, cPanel, and monitoring (Sentry, New Relic) is a differentiator.
Web Masters in technology companies are highly valued, especially those who master DevOps, SRE, and can guarantee uptime and performance at scale. The field offers opportunities from junior webmaster to SRE and infrastructure engineer, with a focus on reliability, security, and speed.
About Backend
The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.
Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).
Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.
About Tech Recruiter
The Tech Recruiter is a professional specialized in recruiting technology talent, from developers to AI engineers and DevOps professionals. They combine technical knowledge with recruitment skills to evaluate and attract highly qualified candidates.
Key skills include technical screening, analysis of technical profiles (GitHub, portfolios, blogs), knowledge of software stacks and architectures, networking in tech communities and events. Proficiency with tools like LinkedIn Recruiter, Gem, Ashby, and technical assessment platforms is a differentiator.
Tech Recruiters are scarce and highly paid professionals, especially those who can map and access passive talent in competitive markets like AI, data engineering, and cloud computing.
About Project Management
Project Management is essential to ensure strategic initiatives are delivered on time, within scope, and with quality. PM professionals coordinate teams, manage risks, and communicate with stakeholders.
Key methodologies include PMBOK, PRINCE2, Scrum, and Kanban. Tools like Jira, Asana, Monday, and MS Project are widely used in daily work.
Certifications like PMP and PgMP are important differentiators in the market, with growing demand in technology and consulting companies.
About Mobile Development
Mobile Development is one of the most dynamic and constantly evolving fields in the technology market. With billions of smartphones worldwide, the demand for qualified mobile developers continues to grow exponentially.
Key stacks include Flutter (Dart), React Native (JavaScript/TypeScript), Kotlin (Android native), Swift (iOS native), and hybrid frameworks like Ionic and Capacitor. Knowledge of mobile architecture (MVVM, Clean Architecture), mobile CI/CD (Fastlane, Bitrise, Codemagic), and App Store/Google Play publishing are essential.
Senior mobile developers are highly valued professionals, with competitive salaries and many remote work opportunities at international companies. Specializing in cross-platform or native is a strategic career decision.
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