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Focus: Work on cutting-edge machine learning research at Modulai by developing unified mixed-modal models that combine data from multiple domains, such as text, images, video, and audio.

Key Responsibilities:

• Model Development:
  Design and experiment with mixed-modal models that incorporate both autoregressive methods for text generation and diffusion-based techniques for visual data.

• Data Fusion:
  Develop models capable of processing both discrete tokens for text and continuous/discrete vectors for visual data, performing tasks like text-to-image generation and visual question answering.

• Performance Comparison:
  Compare the performance of the unified mixed-modal model against state-of-the-art multimodal models, focusing on overall performance, computational efficiency, and fine-tuning across domains.

Required Skills:

• Completing a master’s degree in machine learning or a related field with coursework in machine learning and programming.

Tools and Techniques:

• Transformer-based architectures
• Diffusion models
• Multimodal models
• Python, PyTorch, Git

Application Requirements:

• GitHub account (if available).
• Grades from bachelor’s and master’s programs.
• CV or LinkedIn profile.

Location:
Stockholm, Sweden

Application Deadline:
Submit your application by October 25th, but the process may close earlier if suitable candidates are identified.

Focus: Research and develop efficient language models using knowledge distillation, transferring knowledge from large language models to smaller, more efficient models at Modulai.

Key Responsibilities:

• Knowledge Distillation:
  Implement and experiment with knowledge distillation techniques, transferring knowledge from a large teacher model to a smaller student model.

• Model Optimization:
  Optimize the student model to replicate the behavior of the teacher model with a focus on computational efficiency and maintaining model quality.

• State-of-the-Art Research:
  Explore and apply the latest research in distillation methods, including the use of soft labels and model pruning, to improve the effectiveness of the student model.

Required Skills:

• Completing a master’s degree in machine learning or a related field with coursework in machine learning and programming.

Tools and Techniques:

• Transformer-based architectures
• Knowledge distillation strategies
• Python, PyTorch, Git

Application Requirements:

• GitHub account (if available).
• Grades from bachelor’s and master’s programs.
• CV or LinkedIn profile.

Location:
Gothenburg, Sweden (On-Site)

Application Deadline:
Submit your application by October 25th, but the process may close earlier if suitable candidates are identified.

Focus: Propose your own applied machine learning project and collaborate with Modulai to solve challenges in areas such as healthcare, finance, NLP, computer vision, and more.

Key Responsibilities:

• Project Proposal:
  Submit an open application with a description of your own machine learning project. Collaborate with Modulai’s expert team to bring your idea to life.

• Applied Research:
  Work on real-world machine learning applications in various industries, applying state-of-the-art techniques and tools to solve pressing business challenges.

• Domain Flexibility:
  Choose from a wide range of domains, such as natural language processing, computer vision, logistics optimization, and more.

Required Skills:

• Completing a master’s degree in machine learning or a related field with coursework in machine learning and programming.

Tools and Techniques:

• Python, PyTorch, Git
• Techniques relevant to your proposed project

Application Requirements:

• GitHub account (if available).
• Grades from bachelor’s and master’s programs.
• CV or LinkedIn profile.
• Project Proposal: Describe your proposed machine learning project.

Location:
Stockholm or Gothenburg, Sweden

Application Deadline:
Submit your application by October 25th, but the process may close earlier if suitable candidates are identified.

Levee is developing an AI-driven education platform designed to optimize learning for university and high school students by creating the perfect balance between AI and education. We combine AI technology with modern educational practices to provide students with the tools they need to achieve their academic goals in an efficient and engaging way.

Levee is currently looking for a skilled AI Developer and Co-Founder to lead the technical development of the platform and help shape the future of education.

Focus: Work alongside senior executives to deliver innovative business strategies and cutting-edge AI solutions, helping clients achieve competitive agility and long-term growth.

Key Responsibilities:

• Strategy Intern:
• Develop value-driven strategies to achieve measurable business results.
• Design strategic technology and IT roadmaps that maximize client value.

• Leverage emerging digital technologies to address clients' key challenges.

• Industry and Functional Consulting Intern:

• Advise clients on optimizing their business and talent to navigate dynamic environments.
• Conduct benchmarks, interviews, and workshops to identify value opportunities.

• Define transformation paths and help clients adapt to future business states.

• Data & AI Intern:

• Develop solutions centered on Data, Analytics, AI, and Machine Learning.
• Design methods for efficient data retrieval, management, and visualization.
• Analyze and deliver next-generation digital architecture to address evolving needs.

Expected Outcomes:

• Strategic Impact: Drive business transformation through innovative strategies and actionable insights.
• Career Growth: Develop essential consulting skills and gain exposure to real-world business challenges.
• Global Resources: Access expert networks, methodologies, and global tools to advance your knowledge.

Required Skills:

• Master’s degree student with one year remaining after the internship.
• Strong academic performance and proven analytical problem-solving skills.
• Ambitious, driven, and eager to start your career in consulting.
• Fluent in English; Swedish is a plus.

Nice to Have:

• Experience in Data & AI, business consulting, or strategy development.
• Comfortable handling and analyzing data, with familiarity in SQL, Python, or R.
• Strong written and oral presentation skills.

Why Apply?
Join Accenture’s Strategy & Consulting team to gain hands-on experience in creating impactful strategies and data-driven solutions. This is an excellent opportunity to start your consulting career while working on real-world challenges.

Location:
Stockholm, Sweden

Start Date:
April 21, 2025 – June 13, 2025

Application Process:
Submit your CV, cover letter, and GPA transcript. Specify in your cover letter which segment (Strategy, Consulting, or Data & AI) you are interested in. Applications are reviewed on a rolling basis and must be submitted by December 1st.

Focus: Work with cutting-edge technologies to design, implement, and manage data pipelines that support AI-driven projects, shaping the future of the legal industry with Leya.

Key Responsibilities:

• Data Pipeline Development:
• Architect and implement features across data pipelines, ensuring data freshness and health across multiple sources.

• Take ownership of the data pipelines and data warehouse, balancing high-quality code with security and development speed.

• Monitoring & Execution:

• Monitor data pipelines to ensure reliability and scalability, working to break down tasks and ensure their successful execution.
• Collaborate with a talented team of engineers and work on the latest data engineering technologies to solve complex challenges.

Expected Outcomes:

• Reliable Data Pipelines: Deliver efficient and reliable data pipelines that ensure seamless data flow and support AI-driven projects.
• Growth & Innovation: Contribute to Leya’s innovative solutions while growing quickly as a developer in a fast-paced startup environment.

Required Skills:

• Data Pipeline Experience: 2+ years of experience developing reliable data pipelines with Python and SQL, along with experience in modern orchestration tools like Dagster, Airflow, or Prefect.
• Programming Skills: Strong proficiency in Python and SQL.
• Problem Solving: Ability to work in a dynamic startup environment, thinking creatively about data architecture and innovative solutions.

Nice to Have:

• Experience with IaC (Pulumi or Terraform), CI/CD pipelines, Azure, Elasticsearch, or Kubernetes.

Why Apply?
Join Leya, an ambitious startup backed by top VCs like Benchmark and Y-Combinator, and work on transforming how legal work is done using AI. This is a unique opportunity to shape the future of the legal industry by building cutting-edge data solutions with a highly talented team.

Location:
Central Stockholm, Sweden (Hybrid with on-site preference)

Application Process:
Apply now to become part of Leya’s growing team, and help revolutionize the legal industry with your data engineering expertise.

Leya is always on the lookout for talented individuals, even if there isn’t a current opening that matches your profile. If you believe you could be a great fit, feel free to submit an open application—just note that lead times may be a bit longer.

Leya was founded with the vision of giving lawyers the tools they deserve. We’re not building for how law is practiced today; we’re creating the future of legal work, using cutting-edge AI and technology to reshape the industry.

Applications are regularly reviewed, and the team will reach out if a position aligns with your skills and experience.

Focus: Work with cutting-edge AI and data solutions to transform businesses and help clients unlock the power of analytics, AI, and machine learning.

Key Responsibilities:

• AI & Machine Learning: Develop innovative AI-driven solutions, focusing on Data, Analytics, Machine Learning, and Generative AI.
• Data Management & Insights: Design tools and methods to efficiently retrieve, manage, communicate, and visualize large datasets.
• Digital Transformation: Analyze, design, and implement next-generation digital architecture to meet evolving business needs.
• Client Education: Educate clients on AI, analytics, and emerging data trends to help them harness the power of data for business growth.

Expected Outcomes:

• Innovative Solutions: Create impactful, data-driven solutions that transform how businesses operate.
• Career Development: Extensive training and mentorship to help you grow your technical and professional skills.
• Global Resources: Access to a wealth of global tools, expert networks, and methodologies to foster learning and development.

Required Skills:

• Master's degree (or expected within one year of applying)
• Strong academic performance in a relevant field
• Data Literacy: Comfortable analyzing and working with data
• Strong analytical problem-solving and business acumen
• Fluent in English; Swedish is a plus

Nice to Have:

• Experience with AI, machine learning, and data visualization tools
• Familiarity with SQL, Python, or R
• Strong written and oral presentation skills

Why Apply?
Join Accenture’s Data & AI team and gain hands-on experience with cutting-edge technology while helping clients solve complex business problems. This is an incredible opportunity to launch your career in consulting and data science.

Location:
Offices in Stockholm, Gothenburg, and Malmö

Start Dates:
- January/February 2025 or
- Late August/September 2025

Application Process:
Submit your CV, cover letter, and GPA transcript. Applications are reviewed on a rolling basis, and selected candidates will be invited for analytical ability and personality tests.

Focus: Empower female students with mentorship from industry professionals at Accenture, providing insight into consulting and career development.

Key Features:

• Personal Mentorship:
  Receive guidance from a female mentor at Accenture who will answer your questions and give you deep insights into the life of a consultant.

• Four Mentorship Sessions:
  Two sessions will be held online, and two will be in-person in Stockholm. The planned dates are: January 22, February 26, April 10, and May 15, 2025.

• Tailored Focus:
  Each session will center on your personal development. Themes include career stories, team-building, interactive sessions, and case-solving.

• Networking Opportunities:
  Build valuable networks with professionals and fellow students from different universities.

What We’re Looking For:

• You are currently pursuing a technical degree at university or have a strong interest in technology and want to learn more about consulting.
• You are engaged, driven, and eager to develop yourself through the mentorship program.
• You demonstrate experience from work or involvement in student organizations. Leadership experience is a plus.
• Inclusion and diversity are key values at Accenture, so you should enjoy interacting and collaborating with people from diverse backgrounds.

Why Apply?

• Mentorship: Gain hands-on insight into a consulting career and learn from experienced professionals.
• Networking: Build a network within Accenture and connect with students from various universities.
• Career Development: Develop your leadership, teamwork, and problem-solving skills in a supportive environment.

Application Process:

• Documents Required: Submit your CV and a personal letter explaining why you are the perfect fit for the mentorship program.
• Deadline: Apply by November 18, 2024.
• Results: Successful applicants will be notified in December 2024.

Gillion is always looking for exceptional talent, so even if there isn’t a current opening that matches your profile, there may be an opportunity in the near future. Feel free to submit an open application!

Open applications are regularly reviewed in line with Gillion's evolving needs, and the team will reach out if a role aligns with your skills and experience.

Please note that, due to the volume of applications, Gillion is unable to provide individual responses to each submission.

Focus: Gain hands-on experience in operational risk management and data-driven processes within the banking sector, with opportunities to work on data analytics and technology solutions.

Key Responsibilities:

• Operational Risk Management:
• Learn how to measure and model operational risk exposure.
• Assist in the control, analysis, and reporting of risk exposures.

• Collaborate with various units to address and manage risk.

• Data & Technology:

• Support the Monitoring, Reporting & Analytics Team in developing tools for risk management.
• Utilize tools like Excel, and potentially Python, SQL, SAS, or Power BI, to analyze and visualize data.
• Explore how data processing and analytics can improve operational processes.

Expected Outcomes:

• Skill Development: Gain a strong understanding of operational risk in banking and hands-on experience with data analysis.
• Career Growth: Build your network within Nordea and develop essential skills in banking, risk management, and technology.
• Innovation: Learn how emerging IT solutions and data tools can be applied to manage operational risk effectively.

Required Skills:

• Academic Background: Final-year student or recent graduate with knowledge in banking, finance, or risk management.
• Data Literacy: Familiarity with tools like Excel, with basic knowledge of Python, SQL, SAS, or Power BI being a plus.
• Analytical Skills: Strong attention to detail and an interest in data processing and analytics.

Nice to Have:

• Passion for technology and interest in IT solutions used for data analytics.
• Strong communication and problem-solving skills.
• Fluency in English; knowledge of Swedish is a plus.

Why Apply?
Join Nordea’s Group Operational Risk (GOR) team to gain hands-on experience in risk management and data analytics within one of the largest banks in the Nordics. This is an excellent opportunity to develop skills that are critical in banking and risk management.

Location:
Stockholm, Sweden

Duration:
Part-time (up to 35 hours/week), with a possibility of becoming a permanent member of the team.

Application Process:
Submit your CV and cover letter. Applications are reviewed on a rolling basis, with a deadline of October 15, 2024.

Focus: Lead the development and execution of AI and machine learning strategy at Epidemic Sound, driving innovation and shaping the future of AI-powered solutions in the music and media space.

Key Responsibilities:

• AI Strategy:
• Define and execute AI and machine learning strategy aligned with business goals.

• Identify high-impact opportunities where AI can enhance product offerings and create significant value.

• External AI Partnerships:

• Represent Epidemic Sound in discussions with external AI partners and ensure the adoption of best-in-class AI tools and methodologies.

• Cross-Functional Collaboration:

• Collaborate with product, engineering, and data teams to design and implement machine learning solutions that solve key business challenges.

• AI Leadership & Mentorship:

• Guide and mentor senior machine learning engineers and technical leads across product lines.
• Lead strategic AI projects from ideation to execution, such as semantic and audio-based search, recommendation systems, and AI-driven audio features.

Expected Outcomes:

• Innovative AI Solutions: Drive the development and deployment of AI/ML features that transform the way music and sound are integrated into content.
• Leadership Impact: Play a pivotal role in shaping the AI ecosystem at Epidemic Sound and influencing company-wide priorities.
• Mentorship & Growth: Foster a culture of innovation and best practices within the machine learning team while guiding their professional growth.

Required Skills:

• Extensive Experience: Proven expertise in machine learning and AI, with a strong track record in both academia and industry.
• Leadership Abilities: Significant experience leading and mentoring technical teams, with the ability to guide projects from concept to deployment.
• Cloud-Based ML Expertise: Proficiency in developing and maintaining large-scale ML systems on the cloud.
• MLOps & Generative AI Knowledge: In-depth knowledge of MLOps best practices and hands-on experience with generative AI models, such as diffusion models and transformers, preferably in the media space.

Nice to Have:

• Experience in adapting and fine-tuning foundation models for real-world applications in media.

Why Apply?
Join Epidemic Sound as the Head of Machine Learning and lead the AI transformation of one of Europe’s fastest-growing companies. This is a unique opportunity to shape the future of AI-powered soundtracking solutions and work on groundbreaking AI projects with global impact.

Location:
Stockholm, Sweden (Hybrid)

Application Process:
Apply today to join Epidemic Sound and help create the future of soundtracking through AI and machine learning.

Focus: Lead the development of cutting-edge machine learning features that enhance search and discovery capabilities, contributing directly to the user experience at Epidemic Sound.

Key Responsibilities:

• ML-Powered Features:
• Develop and optimize machine learning applications such as semantic search, audio similarity-based search, recommendation systems, and music tagging to improve user experiences.

• Take projects from idea to production, ensuring scalability and reliability of deployed systems.

• Collaboration & Leadership:

• Lead a team of machine learning engineers in solving core product challenges, fostering a collaborative and explorative culture.

• Mentor and coach team members and staff from other teams, driving technical excellence across the board.

• Innovation & Improvement:

• Build prototypes, run experiments, and operationalize solutions at scale.
• Continuously improve technical processes and ML tooling, ensuring the team’s work remains innovative and impactful.

Expected Outcomes:

• Enhanced Search Features: Deliver highly efficient and user-friendly search products that drive value for users and improve content discovery on the platform.
• Scalable ML Systems: Ensure the successful development, deployment, and monitoring of machine learning systems, helping maintain Epidemic Sound’s cutting-edge technology.
• Team Growth: Foster a culture of curiosity and collaboration, helping team members grow and succeed through mentorship.

Required Skills:

• Experience in Machine Learning: Proven track record in applying machine learning in industry or academia.
• Software Development Skills: Expertise in architecting, developing, deploying, and monitoring software systems, preferably in Python.
• Search Product Development: Strong experience in building search products and adapting foundation models for specific applications.

Nice to Have:

• Experience with Music Information Retrieval (MIR), using modern architectures.
• Familiarity with adapting and fine-tuning foundation models for real-world use cases.

Why Apply?
Join Epidemic Sound as a Senior Machine Learning Engineer and take a leading role in creating AI-powered features that enhance the platform’s search and recommendation capabilities. This is a unique opportunity to work on innovative projects that shape the future of music and content discovery.

Location:
Stockholm, Sweden (Hybrid)

Application Process:
Apply in English to join the Epidemic Sound team and contribute to developing world-class ML-powered products.

Focus: Leverage AI and machine learning to transform data into value, driving strategic improvements for clients through innovative AI solutions.

Key Responsibilities:

• AI Application:
• Apply large language models (LLMs) to solve specific business challenges by extracting, processing, and classifying insights from unstructured data.
• Develop domain-specific or task-specific language models when existing models are insufficient for business needs.

• Evaluate the performance of machine learning models and provide recommendations for improvements.

• Innovation & Development:

• Stay up to date with core technologies in NLP and generative AI.
• Work collaboratively in cross-functional teams, sharing responsibility for planning, quality, and delivery.
• Mentor junior team members, fostering a supportive environment for growth and development.

Expected Outcomes:

• Impactful AI Solutions: Develop and implement AI-powered solutions that drive significant improvements for clients by transforming unstructured data into actionable insights.
• Cutting-Edge Expertise: Contribute to Sogeti’s leadership in AI by staying at the forefront of NLP and generative AI technologies.
• Team Growth: Support the professional development of team members through mentorship and collaboration.

Required Skills:

• Academic Background: Degree in Data Science, Machine Learning, Theoretical Linguistics, or a related field.
• Experience with LLMs: Hands-on experience with large language models (GPT, XLNet, T5, etc.) and proficiency with NLP tools like spaCy and Hugging Face Transformers.
• Python Proficiency: Strong skills in Python development, with experience in libraries like NumPy and SciPy, and familiarity with SQL.
• Communication Skills: Ability to explain technical concepts to non-technical stakeholders clearly and effectively.
• Language Fluency: Fluent in both Swedish and English, written and spoken.

Nice to Have:

• Experience working with cloud platforms, especially MS Azure.
• Familiarity with vector databases like Pinecone, Milvus, or Weaviate.

Why Apply?
Join Sogeti and be part of an innovative team transforming businesses with AI solutions. As a recognized leader in AI, Sogeti offers exciting opportunities to work on cutting-edge projects while mentoring and growing alongside a collaborative team.

Location:
Stockholm, Sweden (Hybrid)

Application Process:
If you’re ready to take on a new challenge and drive the future of AI at Sogeti, submit your application today.

Focus: Advanced forecasting solutions for customer acquisition to aid data-driven business decisions.

Research Questions:

• Trend Detection: How to react to market shifts, economic changes, and cyclical patterns in forecasting?
• Limited Data: How to forecast in both established and new markets with limited historical data?
• Lead Indicators: How to incorporate metrics (e.g., marketing spend) into forecasts?
• Probabilistic Forecasting: How to quantify forecast uncertainty and improve reliability?

Methodology:

• Techniques: Apply machine learning & deep learning for trend detection, anomaly detection, and scalable forecasting.
• Tools: Investigate change point detection, compare methodologies with real-world datasets, and evaluate within Gilion's framework.

Expected Outcomes:

• A robust, scalable forecasting solution for customer acquisition.
• Documentation on methodologies and future improvement suggestions.

Required Skills:

• Proficiency in Python & SQL
• Experience with machine learning & deep learning (e.g., PyTorch, TensorFlow)
• Familiarity with statistical forecasting tools

Focus: Assess whether launching in new markets leads to increased sales and identify key metrics that distinguish successful market entries.

Research Questions:

• Key Metrics: What transactional data points (e.g., daily revenue, customer acquisition, retention) signal a successful market launch?
• Growth Timelines: What are the reasonable timeframes for growth after entering a new market?

Methodology:

• Techniques: Analyze transactional data (e.g., from Fortnox or Apple App Store) using quantitative methods like time series analysis and linear regression.
• Comparison: Evaluate historical performance of market launches for individual companies and across other companies.

Expected Outcomes:

• A framework for evaluating the success of new market entries.
• Insights to help determine whether a company's assumptions about growth in new markets are realistic.

Required Skills:

• Experience working with data sets
• Strong interest in market analysis and business expansion
• Enthusiasm for cross-competency collaboration

Nice to Have:

• Familiarity with data visualization tools (e.g., Data Studio, Google Sheets)
• Experience with SQL