What will you be doing

• Train, fine-tune and evaluate state-of-the-art transformer models
• Create workflows and tools for fine-tuning language models
• Implement model parallelism and data parallelism techniques to optimize model performance through - model and data parallelism
• Collaborate with cross-functional teams to create value with LLMs.
• Implement tooling to support reinforcement learning human feedback methods
• Work with Python, SQL, C++ and Linux systems to develop robust data solutions.

Requirements

Requirements: - MSc or PhD in Computer Science, Artificial Intelligence, or a related field. - 6+ years of experience in the industry, on topics such as Artificial Intelligence, high-performance computing and Machine Learning - Previous expertise and interest in Natural Language Processing and large language models or Reinforcement Learning. - Proficiency in Python, C++ and SQL - Experience in utilizing GPUs or TPUs training transformer-based models - Experience in high-performance computing - Working proficiency in English

Project description

The Department of Speech, Music and Hearing at KTH School of Electrical Engineering and Computer Science is seeking a PhD student for a new project titled "Anticipatory Control in Conversational Human-Robot Interaction". The project, funded by the Swedish AI-program WASP, focuses on developing generic language models for human-robot interaction using self-supervised learning. The aim is to predict and anticipate human behavior in real-time, improving overall interaction. Unlike traditional language models, this project aims to model multi-modal conversation, processing text, audio, and video. The research will involve collaboration with industries and other projects to explore the model's application in social robotic contexts. The position includes a small portion of departmental duties, such as teaching.

Admission requirements

• Completed second cycle degree (for example, a master's degree), or course requirements of at least 240 higher education credits, with a minimum of 60 second-cycle higher education credits, or substantially equivalent knowledge acquired within or outside the country.
• Proficiency in programming and experience in machine learning.
• Excellent English proficiency, both in writing and speaking, for presenting research results.
• A Master's degree (or equivalent) in a field relevant to the research, such as computer science or language technology.
• Proficiency in English equivalent to English B/6.

What you will be doing

• Building versatile ML development and AI deployment setups (pipelines and/or platforms) and other MLOps solutions to enable production-level AI and ML in multi-cloud environments and sometimes in connection to IoT and embedded settings
• Work very practically hand-on but also designing the needed architectures and workflows - enabled by Silo AI assets and learning from versatile project cases
• Work as part of the team with leading AI experts and use cutting edge tools to train, deploy and service advanced machine learning models
• Working in client projects in various different industries that typically lasts 3-6 months, but we also work in long-term projects lasting 1-2 years
• Contributing to Cloud AI & MLOps community and R&D work of Silo AI

What we are looking from you

• You have strong experience in software development
• Experience in training, versioning, deploying, monitoring and/or maintaining machine learning models
• You have knowledge of cloud platforms and technologies (e.g. Kubernetes, Azure, AWS and/or Google Cloud)
• You are experienced in programming with Python and can adopt other programming languages.
• You are familiar with some typical MLOps tools, such as KubeFlow, MLFlow, KFServing/KServe, Seldon, Airflow, Argo, Prefect or others; some DevOps tooling such as Docker, Kubernetes, Terraform scripting (or CloudFormation or similar); some machine learning frameworks, such as Tensorflow and/or PyTorch; some logging tools, such as ElasticStack, Grafana, Prometheus and/or others
• You have a track record of producing quality code and developing software with different practices (CI/CD, version control, some variety of agile development)
• You may have also DataOps related experience around storage (SQL, NoSQL, cloud), processing (batch, stream, ETL), managing/versioning, security, visualization and/or big data
• You are interested in working and communicating with Silo AI clients and working part of the team with Silo experts
• Be able to learn new skills and adapt quickly, as the problems, tools, best practices, and architectures are rapidly changing.

Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields.

• Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
• Implement, train, and validate proposed algorithms for specific problem domains.
• Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
• Collaborate with others in a multidisciplinary team environment to accomplish research goals.
• Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
• Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
• Travel as required to coordinate research with collaborators and visit field sites.

Requirements

• PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
• Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods).
• Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
• Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
• Proven ability to undertake original research and communicate findings in peer-reviewed publications.
• Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
• Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.

Benefits

We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.

If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Are you a clinical expert looking for a new challenge in the fight against cancer? RaySearch is looking for a talented professional who can contribute with clinical expertise to the development of machine learning solutions for radiotherapy, medical image analysis, and oncology data, joining our dedicated Machine Learning team based at our head office in Stockholm.

About RaySearch

RaySearch develops innovative software solutions to improve cancer care. Over 800 clinics in more than 40 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe, Asia and Australia & New Zealand. Today we are more than 380 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination.

About the position​

As a Clinical Specialist in the Clinical Machine Learning team, you will be key to providing clinical input to the Machine Learning development at RaySearch, in particular for Deep Learning Segmentation in RayStation. Your work will have a direct impact on improving and advancing cancer care. The position entails clinical analysis, medical image annotation, and machine learning model development. In practice, this means you will give clinical input on contouring guidelines, model requirements, and model validation. You will delineate contours yourself, review contours, review the output of new to-be-released models and also work with data collection, data tagging, and collaborations with clinics. You will run and monitor the actual ML model trainings and work together with the machine learning engineers to validate and release new machine learning models. You will start out with a focus on deep learning segmentation but the position also includes working with machine learning for radiotherapy planning and analytics.

Your profile​

You are an analytical person that has an eye for detail and strives for high quality deliveries. You are an eager learner and comfortable reading scientific literature, with a strong interest in anatomy. You enjoy working in a team and actively contributing to projects. Additionally, you excel in maintaining focus and working independently.​

• Radiation therapist, Medical Physicist, or similar
• Clinical experience in Radiotherapy, preferably in pre-treatment preparation and medical imaging
• Fluent in English

Meriting​

• Clinical experience with annotation for Radiotherapy​
• Python, or other coding experience
• Experience with RayStation​

Application

Please apply to the position through the application form below. Selection and interviews will be ongoing. We do not accept applications by e-mail, but if you have any questions about the position please contact Fredrik Löfman (Recruiting Manager).

What does it mean to be a Data Scientist Consultant at Netlight?

It will vary a lot between Netlighters as we, around the right person, will design a role together with you. You will be starting somewhere familiar with your experience, and from there it is your call how your career at Netlight will look, ranging from which clients you will work with, what role you want to take (based on your personal experience, strengths, your personal interest) and how your relationship with your mentor/coach/EDGE networks/social networks will look like.

As a consultant at Netlight, you will build the products, systems and technical solutions of today and tomorrow. This means that our consultants get the opportunity to help build and scale existing and new products and companies and also continuously learn and master a variety of technical tools. At Netlight, we will challenge you. Our clients will challenge you. You will challenge our clients. You will challenge us. We will grow together and unleash the potential in each other.

As a Data Scientist Consultant, you will help our clients in projects with roles in Data Science. It can be working within Data Science, Data Analytics, Business Intelligence, or project management in terms of working with data or utilizing data to make product decisions to mention a few examples.

Minimum Qualifications:

• Master Degree in Engineering or Technology

• Verbal and written fluency in Swedish and English

• 0,5-5 years of work experience within the data science field related to IT and software products in agile teams

No deadline, but please apply as soon as possible!

Key Responsibilities:

• Design and implement data models

• Work closely with stakeholders to identify data requirements

• Develop and maintain data dictionaries, data models and other data-related documentation

• Identify opportunities to improve data quality and accuracy

• Work with machine learning models to derive insights and predictive analytics

• Develop and maintain ETL processes to facilitate data integration and transformation

• Stay up-to-date with emerging technologies, industry trends, and best practices

Requirements:

• Strong experience in data modeling and machine learning

• Experience in designing and implementing complex data models

• Strong proficiency in SQL and other database management systems

• Experience with machine learning frameworks such as TensorFlow, Keras or PyTorch

• Strong understanding of data governance, data quality, and data management

• Excellent communication and collaboration skills

• Ability to work independently and as part of a team

• Strong analytical and problem-solving skills

On our path to becoming the world’s favorite way to shop, we’re assembling an unparalleled global talent network, accelerating individual careers, and disrupting entire industries. We are on a mission to liberate humanity from all the meaningless time spent managing their purchases and finances, so they can do more of what they love. We’re in search of global talent eager to embrace our atmosphere and defy their own expectations.

Want to be part of the change? We're expanding several of our engineering teams, including; teams working on our core checkout product, payment services, fraud prevention, or improving our billing service and shipping credentials to name a few.

What you'll get to do:

Work with increasingly large volumes of data on resilient modern data infrastructure Own data products end to end Design and implement analytically suitable data structures from complex service data Advise upstream/downstream stakeholders on getting the best value out of our data, always with security, compliance, efficiency and standardization at front of mind Be an integral part of a team, in addition to its culture and ways of working. Common practices include agile methodologies, pair and mob programming Succeed, fail, and learn together with other talented people. We believe in an environment that provides an opportunity for growth and see education as an outcome of failure that gets us closer to the next breakthrough

We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.

At Epidemic Sound we are reinventing the music industry. Our carefully curated catalog, with over 40 000 tracks and 90 000 sound effects, is tailored for storytellers, streaming services, and in-store soundtracks. Countless clients around the world, from broadcasters, production companies, DSPs, and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of millions of online videos daily, across millions of playlist streams, and in thousands of in-store locations. Headquartered in Stockholm, we’re spread across offices in New York City, Los Angeles, Seoul, Hamburg, and Amsterdam. We’re growing fast, have lots of fun, and are taking the music industry with us.

The team is focused on building the best-in-class platform to enable our developers and is creating a golden path to make others' lives easier. We are giving the possibility for other teams to work faster with fewer issues with the platform. We’re looking for an engineer to join a skilled and senior team. If you enjoy learning new things, can handle context switching between the overall structure of our systems to very detailed nitty gritty things, and bring a mentality of wanting to fix things in a tech agnostic manner (but have a soft spot for Python (Django), React, Java, GCP and potentially Terraform) this could be your call!

How you will make an impact;

Collaboration & Communication; We are an Internal Team, meaning that we’re working with most, if not all tech teams in the organization with developers as our main point of contact, meaning there is a lot of communication internally. Also, we enjoy Mob Programming, Pair Programming, etc. Collaboration is at the core of what we do.

Curiosity; We work broadly and widely with solving complex problems in a tech-agnostic manner. We don’t expect you to be the fastest or an expert in everything - but being open to new knowledge, willing to learn, and an openness to different tasks will take you far.

Problem-solving; Fixing things is core - having the mentality that when you see anything broken, or not as great as it has the potential to be; you want to fix it.

Doer; Sometimes, we operate in high levels of uncertainty. If you are able to tackle different tasks coming at us by being action-oriented and doing what’s needed - you’ll love working in this environment.

What you'll do;

Your work would contribute to providing product teams with core services, platforms and capabilities that enable them to build stable and performant apps faster. We’re proud and can stand by the tech choices we make, but expect to face problems knowing that the way to tackle them is by doing research, coming together, wanting to understand how systems, networks, and cloud computing work, and most importantly; learning on the way. Doing high-impact work, not only using fun tech - we want to give the organization as many high-impact tools as we can while making sure the teams have the autonomy to build what they need to build to make an impact too.

What you'll bring;

Mainly backend experience, maybe touched frontend. Or surprise us - maybe you mainly touched frontend with a big passion for backend. Experience with Cloud Architecture, or the will and drive to learn, at least not be afraid of it - it won’t bite. Experience with Python (Django), React, Java, and probably GCP. We wouldn’t blame you if you worked with Kotlin, Ruby, Rust, or other languages. Terraform is a plus. Keycloak and Fastly are less important plusses.

Most importantly;

Your interests, mindset, and attitude will be the more important aspects of the role. Tech you can learn. Your mindset and the attitude you bring will make us better together, and that’s more valuable to us!

Application

Do you want to be a part of our fantastic team? Please apply, in English, by clicking the link below.

As a Machine Learning Master Thesis Student hosted in Motherbrain Research, you will be working on a specific and valuable applied research problem in the field of private market investments. You will work in a small team and carry out your research with help from our researchers, data scientists, machine learning engineers, data engineers, developers, designers and investment professionals. You will also be able to work with large-and-diversified data and state-of-the-art models. Your research outcome will help improve EQT's proprietary, AI-driven investment platform Motherbrain.

We are a diverse team of creative individuals and we believe that the key to a great team culture is great people having a great time together. Some of the things we do are hack days, game nights, fun activities and team dinners. We also have plenty of perks in our beautiful Stockholm office; we even have our own full-time barista! ☕️

We would like to have you located onboard in Stockholm for this autumn 2023 (preferably in the beginning of September).

What you’ll do

• Learn and define the research problem, scope, objective, success criteria and milestones
• Literature survey and explorative study in a specific branch of multivariate time-series modeling (Transformer based) domain
• Learn about the Motherbrain platform, data warehouse, AI infrastructure, and the previous relevant research
• Implement and experiment machine learning algorithms concerning self-supervised time-series representation learning
• Evaluate the learned representation in two downstream tasks: predicting performance propensity and time-to-event
• Explore and experiment with explanation capability of the learned representations
• Creative thinking and quick iteration to obtain improvement on either model performance or efficiency
• Craft, reproduce and explore using tools like Tensorflow, Pytorch, Scikit-Learn, SQL and open source research code
• Benchmark and evaluate algorithms on both public and proprietary datasets, leading to discussions, conclusions and insights
• Write a high-quality thesis that summarizes the entire research.

Who are you

• You think creatively about how to solve our users' problems with Machine Learning
• You are knowledgeable and passionate about machine learning methods, research and applications
• You have great communication skills and are a true team player
• You are humble with a growth mindset, curious to learn and try new technologies
• You are good and enthusiastic about coding and carry out top-notch research work

What will you gain

• In-depth knowledge and experience with the state-of-the-art representation learning approaches
• Opportunity to work in a top-tier investment firm on a challenging real-world problem that supports the fund
• Solid learning on both practices of machine learning research and private capital operations
• A Master Thesis that may result in an academic publication or a blog post
• Last but not least, enjoy the perks in our beautiful Stockholm office with our own full-time barista! ☕️

Nice-to-have!

• Knowledge in working with tools like BigQuery, DBT, Kubeflow, TFX, Dataflow (Beam), Airflow, Docker, Vertex AI
• Experience of working with Transformer based deep learning models such as BERT, T5, ViT, etc.
• Knowledge or experience about model explainability
• Academic publications in the domain of machine learning and data mining.

Why EQT

If you are a passionate technologist who wants to challenge the status quo, and be challenged every day, this is where you need to be. We are a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of almost three decades of delivering consistent and attractive returns across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT today has EUR 113 billion in fee-generating assets under management, within two business segments – Private Capital and Real Assets.

Diversity & Inclusion

EQT Tech is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of ethnicity, gender, gender identity, sexual orientation, functional variation, age, or other legally protected status. For individuals with functional variations who would like to request a tour of our accommodation, please reach out.