Benefits:

• Flexible working hours

• Start-up environment

• Mentoring by experienced colleagues

Education Requirements:

• Recent graduates or current students in a Masters or Ph.D. degree in math, statistics, computer science, or related field

Experience Requirements:

• Experience using Python and its common data analysis packages (numpy, pandas, matplotlib, scikit-learn)

• Good understanding of core machine learning concepts

• Experience with data processing (transforming, filtering, and presenting large quantities of data)

• Advanced English proficiency

Other Requirements:

• Experience with deep learning models and frameworks (PyTorch, TensorFlow)

• Practical experience with machine learning tasks (NLP, CV, time series)

• Experience with databases (SQL and NoSQL) and clustered data processing

• Basic understanding of main software development principles (OOP, VCS, CI/CD)

• Domain-specific knowledge relevant for modeling

Responsibilities:

• Data processing, cleaning, and annotation

• Model development, testing, and fine-tuning

• Machine learning pipeline development, validation, and deployment

• Development of packages and modules for internal use

• Preparation of presentations, analytical materials, and project summaries

Benefits:

• Competitive salary and benefits

• Flexible working hours

• Ability to grow with the organization

• Interesting projects that eventually go to production

Education Requirements:

• MSc/Ph.D. in Mathematics, Optimization, (Electrical) Engineering, Statistics, Computer Science, Machine Learning, Physics

Experience Requirements:

• 3+ years of industrial experience in ML/AI-related environment

• Strong expertise in Python and main data science libraries

• Excellent scientific/technical writing skills

• Strong communication and presentation skills

• Business fluent English and German

Other Requirements:

• Working with a high degree of self-responsibility and a goal-oriented approach

• Deep expertise in NLP, Computer Vision, Industry 4.0, IoT, Remote Sensing

• Proven ML skills (academic papers, Kaggle, GitHub)

• Experience with neural networks with PyTorch/TensorFlow

Responsibilities:

• Structure, manage and lead client activities and internal research projects

• Manage the internal data science project

• Evaluate advances in SOTA and assess applicability for customer use cases

• Support presales team with developing potential use cases and project ideas

• Take an active role in guiding and mentoring junior colleagues

Education Requirements:

• Bachelor’s or Master’s degree in a quantitative field

Experience Requirements:

• 10+ years in product analytics

• 4+ years of direct people management

• Advanced proficiency in SQL, R, or Python

• Expertise in Tableau, Power BI, or similar tools

• Knowledge of advanced statistical modeling

Responsibilities:

• Lead product analytics charter for a dedicated vertical

• Forecast potential costs and revenues for leadership

• Manage and mentor a team of analysts

• Translate complex datasets into executive narratives

• Filter and structure large datasets into data models

Education Requirements:

• Active RN license (BSN minimum)

Experience Requirements:

• 5+ yrs clinical experience spanning Medical-Surgical, Maternal/Newborn, Pediatrics, or Psychiatric nursing

• NCLEX prep instruction or item-writing experience strongly preferred

Other Requirements:

• Strong knowledge of the NCSBN Clinical Judgment Measurement Model (CJMM)

• Knowledge of all Next Generation NCLEX item types

Responsibilities:

• Log into our review portal and work through your assigned question queue at your own pace

• Read each question's clinical stem, answer options, and detailed explanation

• Mark each question as Approved, Needs Revision, or Reject using platform tools

• Leave specific, actionable comments on any question that needs changes

• Validate all 19 NGN item types are structurally correct

Education Requirements:

• Active LPN/LVN license

Experience Requirements:

• 5+ yrs practical nursing experience

• PN program teaching or clinical preceptor experience preferred

Other Requirements:

• Deep understanding of LPN/LVN scope of practice across multiple states

• Familiarity with NGN item types

Responsibilities:

• Log into our review portal and work through your assigned question queue independently

• Read each question's clinical scenario, answer options, and rationale carefully

• Mark each question as Approved, Needs Revision, or Reject

• Leave clear, specific comments on any issues

• Verify EVERY question stays within LPN/LVN scope

Education Requirements:

• Active APRN license with FNP certification (AANP or ANCC, ideally both)

• DNP preferred

Experience Requirements:

• 5+ yrs primary care practice with prescriptive authority

• Board exam prep teaching or item-writing experience preferred

Other Requirements:

• Familiarity with both AANP MCQ-only and ANCC interactive item formats

• Ability to validate prescribing content reflects NP scope

• Knowledge of current clinical guidelines (USPSTF, AHA, ADA, ACOG)

Responsibilities:

• Log into our review portal and work through your assigned FNP question queue

• Read each question's clinical stem, differential diagnosis options, and detailed explanation

• Mark each question as Approved, Needs Revision, or Reject with specific comments

• Verify differential diagnosis logic follows current clinical guidelines

• Confirm all prescribing content reflects NP prescriptive authority

Education Requirements:

• Registered Nurse (RN) qualification

Responsibilities:

• Patient care

Benefits:

• 4 day work week

Other Requirements:

• Ability to work from office in Union Square, NYC

Benefits:

• Paid holidays

• Remote Working

• Team vacations / outings

• Employee Training

• Team-based lunch

Benefits:

• Real-world research experience in a fast-moving AI environment

• Flexibility to match your university timeline

• Mentorship

• Potential to publish or showcase your work

Education Requirements:

• Bachelor’s (ideally, final year), Master’s or early-stage PhD students in CS, AI, ML or related fields

Experience Requirements:

• Strong interest in research and agentic AI systems

• Comfortable working independently and exploring open-ended problems

• Basic experience in Python and applied ML/NLP is a plus

Responsibilities:

• Research AI agents, automation, or related topics

• Collaborate on research, summer internships or master’s theses

Benefits:

• 30 days of paid vacation

• Access to a variety of fitness & wellness offerings via Wellhub

• Mental health support through nilo.health

• Substantially subsidized company pension plan

• Subsidized Germany-wide transportation ticket

Education Requirements:

• PhD in reinforcement learning or equivalent research experience (preferred)

Experience Requirements:

• A deep understanding of Reinforcement Learning theory and how it relates to modern RL methods

• Experience with multi-node LLM training (ideally using RL)

• Familiarity with statistical methods for evaluation and experiment design

• Strong Python skills and comfort with ML tooling (especially torch distributed)

• Ability to reason about what an evaluation/environment measures and whether it matters

Other Requirements:

• Willingness to relocate to Heidelberg or travel regularly (potentially weekly)

• History of contributions to top-tier venues like NeurIPS, ICML, ICLR (preferred)

• Experience crafting environments for training (preferred)

Responsibilities:

• Hill-climb in large-scale training: Conduct training runs, analyze scores, and implement improvements

• Theoretical innovation: Stay at the bleeding edge of RL research and iterate on novel approaches

• Scale our training infrastructure: Identify bottlenecks and optimize RL training loops

• Cross-functional collaboration: Partner with post-training teams to turn feedback into actionable signals

Experience Requirements:

• Hands-on experience training large-scale diffusion models for image and video data

• Experience fine-tuning diffusion models for specialized applications

• Deep understanding of effectively evaluating image and video generative models

• Strong proficiency in PyTorch, transformer architectures, and deep learning ecosystem

• Solid understanding of distributed training techniques (FSDP, low precision, parallelism)

Other Requirements:

• Experience writing Triton kernels

• Proficiency with profiling and debugging tools like Nsight

• Understanding of performance characteristics of architectural choices at scale

• Published research in generative models

Responsibilities:

• Train large-scale diffusion transformer models for image and video data

• Rigorously ablate design choices via isolation of variables and controlled experiments

• Reason about speed-quality tradeoffs of neural network architectures in production

• Fine-tune diffusion models for specialized applications (upscalers, inpainting)

• Shape research direction by communicating experimental results

Benefits:

• Flexible Working

• Work from Anywhere

• Connection Budget

• Learning Budget

• Home Office Allowance

Experience Requirements:

• Product obsessed with relentless curiosity about behavioral mechanisms

• Ability to synthesise data into clear, structured narratives

• Expertise in experimentation platforms like Optimizely or Amplitude

• Advanced SQL skills and experience with GA4 and Tableau

• Experience with statistical models and commercial context

Other Requirements:

• Python experience preferred

• Comfortable interrogating prevailing narratives

Responsibilities:

• Probing behavioral mechanisms of engagement and friction

• Acting as a high-level advisor to product leaders

• Establishing consistent A/B testing and causal analysis

• Linking product engagement to retention and lifetime value

• Coaching Product Managers to use data effectively

Benefits:

• $4000/yr Travel Stipend

• $350/mo Productivity stipend

• $350/mo AI Tools Budget

• Cover up to 100% of health insurance costs

• Unlimited PTO (2 week minimum)

Education Requirements:

• PhD preferred but not required if equivalent industry experience

Experience Requirements:

• 3–4+ years of hands-on ML research experience

• Author on peer-reviewed papers

• Expert-level knowledge in PyTorch

• Experience with YOLO, SAM, VLMs

• Deep knowledge of object detection and instance segmentation

Other Requirements:

• Independent & Impact-Oriented

• Innovative Thinker

• Collaborative Researcher

Responsibilities:

• Research and prototype novel computer vision models

• Lead end-to-end ML research projects

• Reproduce and extend results from top academic papers

• Build open-source and production-quality implementations

• Drive innovation in vision-language models

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Attractive compensation with equity plan

Experience Requirements:

• Senior level experience

• Strategic mindset

• Excellent leadership skills

• Excellent communication skills

• Interpersonal skills

Other Requirements:

• Highly motivated individuals

Responsibilities:

• Take initiative to set priorities and exceed goals

• Gain deep knowledge on functions of an AI enterprise software company

Benefits:

• Competitive salary

• Stock options

Education Requirements:

• Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields.

Experience Requirements:

• Experienced in Natural Language Processing, Computer Vision or Speech Processing.

• Familiar with programming languages such as Python

• Advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax.

Other Requirements:

• Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)

• Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models.

• Excellent written and verbal technical communication skills in English.

Responsibilities:

• As a Research Scientist for the EMOS team, you will collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms.

• A successful candidate should be able to conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning.

Benefits:

• Equity

• Benefits

Education Requirements:

• PhD in Physics or Electrical/Mechanical Engineering

Experience Requirements:

• At least 2 years of postdoctoral or industry experience

• Proven track record designing and characterizing SNSPDs

• Experience with high-bandwidth RF readout electronics

• Extensive experience operating cryostats

• Experience writing Python code

Other Requirements:

• Detail-oriented with positive attitude

• Authorized to work in Canada

Responsibilities:

• Develop record-breaking single photon detectors

• Independently operate cryogenic systems

• Design, assemble, and evaluate SNSPDs

• Develop novel high-bandwidth RF electronics readout

• Perform cryostat-based iterative testing

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

Experience Requirements:

• At least 2 years of professional experience in data science or a related field.

• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.

• Experience with big data technologies like Hadoop, Spark, or Hive is a plus.

Other Requirements:

• Proficiency in programming languages such as Python, R, or Scala.

• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.

• Strong understanding of statistical modeling, data mining, and machine learning techniques.

Responsibilities:

• Analyzing and interpreting complex data to identify trends, patterns, and insights.

• Developing, validating, and implementing predictive models and algorithms.

• Collaborating with business units to understand their needs and provide data-driven solutions.

• Communicating findings through visualizations and presentations to stakeholders.

• Maintaining and improving existing data pipelines and tools.

Benefits:

• Referral bonus

• Weekly pay

• Medical benefits

• Continuing Education

• Dental benefits

Experience Requirements:

• 2 - 5 years

Responsibilities:

• Manage pharmacy operations for acute care as a travel professional