Benefits:

• $700/month stipend

• Portfolio-ready output: your experiments and reflections can be published and cited.

• A unique fellowship title that stands out on your CV/LinkedIn.

• A chance to directly influence an ethical AI product used by thousands of students worldwide.

• Close mentorship and networking with Litero's product and marketing team.

Education Requirements:

• Currently open to students

Experience Requirements:

• Show us you can think critically and use Litero.

Other Requirements:

• Complete a short essay task inside Litero (takes 5 minutes).

• Submit your info + a 100-word motivation through the application form.

• Applications reviewed weekly; selected students notified by email.

• If accepted, you'll sign a short freelance agreement before starting.

• Payments will be processed monthly via PayPal or Wise.

Responsibilities:

• Investigate how students actually use AI in essays, research, and presentations.

• Design and run small "micro-projects" — like testing prompts, comparing workflows, or gathering peer feedback.

• Turn your discoveries into short guides, posts, or reports other students can learn from.

• Present your findings to the Litero team and your fellow cohort — your work feeds directly into our roadmap.

• Collaborate with other fellows: swap ideas, compare results, and push each other further.

Education Requirements:

• Background in biophysics, biology, chemistry, or a related field.

Experience Requirements:

• Practical experience with GROMACS.

• Knowledge of system preparation (force fields, solvation, methods of parameterization).

• Experience with membrane protein simulations.

• Linux proficiency; basic scripting (Bash, Python).

Other Requirements:

• Experience with other MD engines (AMBER, NAMD, or OpenMM)

• Familiarity with enhanced sampling methods.

• Experience with mixed-solvent simulations.

• Hands-on experience with HPC.

Responsibilities:

• Prepare and run MD simulations on HPC/cloud systems.

• Perform standard analyses (RMSD, RMSF, hydrogen bonds, clustering, etc.).

• Automate routine steps with simple scripts.

• Document and report results clearly.

Benefits:

• Mentorship from experts with deep industry experience.

• Work on high-impact, real-world drug discovery programs.

• Flexible, remote-friendly culture.

Education Requirements:

• Final-year student or recent graduate (B.Sc. or M.Sc.) in Chemistry, Biochemistry, Pharmaceutical Sciences, Computational Chemistry, Structural Biology, or related fields.

• Candidates from engineering or physics with exposure to molecular simulations, bioinformatics, or AI in life sciences are encouraged to apply.

Experience Requirements:

• Basic understanding of molecular docking principles and exposure to tools such as AutoDock, Glide, or GOLD through coursework, internships, or self-study.

• Introductory knowledge of computer-aided drug design (CADD) concepts.

• Familiarity with molecular visualization tools (PyMOL, UCSF Chimera, VMD).

• Basic proficiency in Python or another scripting language; experience with Jupyter or Google Colab preferred.

• Coursework, research projects, or self-initiated learning in computational modeling will be considered favorably.

Other Requirements:

• Strong scientific curiosity and willingness to learn hands-on tasks in computational drug discovery.

• Ability to communicate findings clearly and work collaboratively in a team environment.

• Openness to feedback and continuous learning in a fast-paced setting

• Experience in academic drug discovery programs, hackathons, or internships at pharma, CROs, or research centers.

• Familiarity with AI/ML frameworks for chemistry (e.g., DeepChem, PyTorch).

Responsibilities:

• Support hit discovery projects by preparing protein and ligand structures for modeling.

• Run docking workflows and visualize protein–ligand interactions using molecular modeling tools.

• Assist in structure- and ligand-based design tasks across live projects.

• Contribute to the setup and execution of cheminformatics pipelines (e.g., RDKit, Open Babel).

• Document workflows, results, and insights clearly for team discussions.

Benefits:

• Drive real drug discovery with visible impact on pipeline progress

• Join a science-first team blending AI and chemistry for next-gen therapeutics

• Enjoy flexible working with support for remote collaboration

Education Requirements:

• Ph.D. in Computational Chemistry, Medicinal Chemistry, or a related field

• Master’s degree in computational drug discovery or related roles

Experience Requirements:

• 2–5 years of experience in drug discovery (with Ph.D.)

• 5+ years of hands-on industry experience in computational drug discovery or related roles (with Master's degree)

• Proven track record of contributing to hit identification, hit-to-lead, or lead optimization programs

• Proficiency in molecular modeling platforms

• Strong understanding of medicinal chemistry and SAR interpretation

Other Requirements:

• Comfortable working in fast-moving, cross-functional project teams

• Is actively contributed to real drug discovery projects and can confidently apply modeling techniques to impact design decisions.

• Is comfortable balancing scientific depth with practical prioritization and can independently plan and drive modeling strategies within multi-disciplinary projects.

Responsibilities:

• Use molecular modeling tools (e.g., docking, molecular dynamics, FEP, pharmacophore design) to support compound design.

• Interpret SAR data, suggest new analogs, and prioritize compound ideas.

• Collaborate with medicinal chemistry teams.

• Contribute to planning project workflows and setting modeling priorities.

• Drive hypothesis generation and test cycles based on evolving data.

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Education Requirements:

• PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent.

Experience Requirements:

• Should have experience with a proven track record in client interaction, can collaborate with engineering and business teams and is good at formulation, solving and deploying Data Science models.

• conversant with at least 2 or more of the above areas

• conversant with deep learning and conventional machine learning methods

• expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries.

Other Requirements:

• requisite theoretical strength

Responsibilities:

• help solve client problems

• conversant with end-to-end data science model life cycle, metrics, and deployment challenges

• conceptualizing, formulating, coding and deploying the solutions to the problem

• conversant with interacting with the clients and be able to make sense of ambiguous problem statements

• building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models

Benefits:

• Healthcare benefits covered at 100% for employees and 70% for dependents

• Generous parental leave policy

• Mental health support through Talkspace

• Financial wellness support through Northstar

• Unlimited PTO and standard company holidays

Experience Requirements:

• You’ve been designing and building software for at least 7 years, with at least 3 years focused on architecting and shipping consumer-facing ML models.

• You have experience integrating ML into end-user products (recommendation, ranking, personalization, moderation).

• You embody the “applied” in applied ML: You enjoy the research, but love seeing models ship, move metrics, and make people’s experiences better.

• You’re fluent in Python and ML libraries such as TensorFlow, HuggingFace Transformers, and scikit-learn.

• You have hands-on experience with modern model architectures and techniques e.g., feature interaction modeling, advanced negative sampling and bias correction techniques, and efficient large-scale candidate retrieval.

Other Requirements:

• Attend Medium’s twice-yearly, in-person offsites (hosted in locations around the U.S.).

• Only US-based candidates are eligible for this role.

• Medium is awesome

• answers were generated by artificial intelligence

Responsibilities:

• You’ll help us apply machine learning thoughtfully across Medium - starting with recommendations, but extending far beyond them.

• Drive the research. Lead with curiosity and precision. You’ll design and interpret experiments, bring statistical rigor to our experimentation, and keep a critical eye on things like bias and spurious correlation in our thinking.

• Bring organizational leverage. Work across teams to ensure that ML improvements are well-integrated into the product, not off to the side.

• Own and continuously improve our recommendation systems.

• Find new and innovative ways to use ML techniques to better serve our community of readers and writers.

Experience Requirements:

• Have 3+ years of AI/ML engineering experience building real-world applications

• have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms

• Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks

• Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs

• Excellent communication skills and ability to collaborate with full stack roles

Other Requirements:

• Familiar with the full stack Typescript/React/NextJS, Python, Postgres

• Interested in writing technical blogs to establish Onyx is leader in the space

Responsibilities:

• Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms

• Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.

• Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx

• Own the approach from inception to validation to production code

• Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy

Benefits:

• Competitive salary package

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field or equivalent practical experience

Experience Requirements:

• Strong programming experience in one or more of the following: C, C++, Python, Java.

• Relevant work experience, including full-time industry experience or as a researcher in a lab

• Strong publication record

• Ability to design and execute a research agenda.

• Personal or professional experience in working with people of diverse backgrounds.

Responsibilities:

• Participate in cutting edge research in the following areas: Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot interfaces, Crowdsourcing, and Visualization.

• Develop solutions for real world, and work on large scale problems.

Benefits:

• Competitive salary and 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 and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax

• 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

Other Requirements:

• Excellent written and verbal technical communication skills in English

Responsibilities:

• Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms

• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning, while being connected with the engineering team

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analyst level or above

• Strong proficiency in SQL, Python, and advanced statistical analysis

• Strategic mindset with deep understanding of business dynamics

• Strong communication and influence skills

• Ability to build organizational analytical capabilities

Other Requirements:

• Demonstrated ability to create business value through analytical influence and product thinking

Responsibilities:

• Influence company-wide strategic direction by identifying high-impact analytical opportunities

• Develop and maintain scalable analytical methodologies and frameworks

• Champion adoption of advanced analytical approaches, including A/B testing and experimentation

• Propagate analytical excellence across teams through mentoring, documentation, and knowledge sharing

• Collaborate closely with executives and cross-functional teams

Experience Requirements:

• 3+ years of experience in ML research, with a strong foundation in model architecture, optimization, and validation techniques

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch

Education Requirements:

• PhD Student in Computer Science, Artificial Intelligence, or a related field, or equivalent senior research experience

Experience Requirements:

• Deep expertise in diffusion, transformer, and multimodal generation models (e.g., text-to-video, image-to-video, video-to-video)

• Proficiency in PyTorch and distributed training frameworks

• Research contributions demonstrated through publications in top AI conferences (e.g., NeurIPS, CVPR, ICCV, SIGGRAPH)

• Familiarity with AI filmmaking tools and workflows (e.g., MidJourney, Runway, Wan, ComfyUI)

• Interest in AI filmmaking or experience creating your own AI short films

Responsibilities:

• Participant in training and fine-tuning of image and video generative models on clusters with hundreds to thousands of GPUs

• Research and develop advanced training strategies, including continuous training, RL-based post-training for advanced capabilities(e.g., reasoning, controllability, consistency), and unified text-image-video Auto-regressive modeling

• Design and optimize high-quality data pipelines to enable effective multimodal training with large-scale domain specific datasets

• Build automated evaluation frameworks to assess fidelity, coherence, and adherence to input conditions

• Collaborate with researchers, engineers, and creative teams to translate research breakthroughs into practical filmmaking production workflows

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

Experience Requirements:

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects is preferred

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

Experience Requirements:

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Benefits:

• An open and inclusive culture and work environment

• Full health and dental benefits, including a separate budget to take care of your mental health

• 100% Parental Leave top-up for up to 6 months

• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

• 6 weeks of vacation (30 working days!)

Education Requirements:

• Have a PhD (or equivalent research experience) with a strong track record of publications in ML, AI, statistics, or related fields.

Experience Requirements:

• Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration.

• Have solid machine learning and NLP fundamentals, with experience in shaping and executing original research.

• Enjoy collaborating across disciplines and geographies.

• Care about mentoring and supporting the next generation of researchers.

Responsibilities:

• drive an independent, high-impact research agenda on frontier topics in AI.

• ask ambitious questions, explore the unknown, and publish your findings openly.

• advancing frontier research with global collaborations

• guiding new researchers

• opening doors for broader participation in ML research.

Benefits:

• Flexible (Unlimited) Paid Time Off

• Medical, Dental, and Vision benefits for you and your family

• Life Insurance and Disability Benefits

• Access to a 401(k) retirement savings plan (for U.S. employees)

• Paid Parental Leave

Experience Requirements:

• 4+ year experience

• Expert in SQL and Python or R

• Robust understanding of statistical and machine learning methods

• Storytelling through data

• Experience with data transformation tools and data orchestration tools

Other Requirements:

• Legally authorized to work in Canada and/or the United States

Responsibilities:

• Drive strategic insights

• Deliver clarity

• Set up data infrastructure

• Empower self-serve analytics

• Champion a data-driven culture

Education Requirements:

• Bachelor’s degree in Computer Science, Cybersecurity, Forensic Analysis, or related field.

• Advanced degree or certifications in blockchain technology or cybersecurity is a plus.

Experience Requirements:

• Proven experience as a Crypto Investigator or similar role in blockchain technology.

• Experience with instructional design or training delivery in blockchain fundamentals and investigative techniques.

• Experience with data analysis tools and methodologies.

• Experience in a teaching or mentorship role, especially related to technology or cybersecurity.

Other Requirements:

• Strong understanding of blockchain fundamentals, particularly Ethereum and other EVM-compatible blockchains.

• Proficient in smart contract programming languages such as Solidity and familiarity with other languages like Rust or C++.

• Experienced with tools for blockchain analysis like Etherscan, BlockSec, and others specific to Solana and other blockchains.

• Ability to conduct comprehensive static and dynamic analysis of smart contracts.

• Knowledgeable in forensic best practices and legal standards related to crypto investigations, with the ability to impart this knowledge to law enforcement personnel.

Responsibilities:

• Conduct detailed investigations of blockchain transactions to trace and track crypto assets.

• Analyze interactions with smart contracts to uncover potential fraud, errors, and vulnerabilities.

• Perform static and dynamic analysis of smart contract source code.

• Develop and utilize tools and techniques for monitoring blockchain activities.

• Generate comprehensive reports on findings and provide expert opinions.

Benefits:

• Supportive engineering environment

• Regular informal instructions from senior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, PhD in quantitative field, such as Physics, Mathematics, Statistics, Engineering

• Equivalent practical experience

Experience Requirements:

• Good knowledge of statistics, data analysis, and modelling methods

• Problem solving skills with respect to approaching a new dataset/customer request and formulating a problem

• Experience with some form of Deep Learning, for example Image recognition, or NLP, and a solid understanding of the foundations

• Experience with programming in Python

• Experience with Reinforcement Learning

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Working directly with our customers to support the deployment of our products

• Internally strengthening the products themselves

• Initial data exploration for customers

• Modelling and problem formation for customers

• Reinforcement Learning training for customers

Education Requirements:

• Bachelor's degree in a quantitative field (e.g., Computer Science, Math, Physics) or equivalent, extraordinary practical experience

Experience Requirements:

• Demonstrated history of exceptional talent and achievement in a rigorous field

• Proven ability to build complex systems from scratch and a strong portfolio of projects that showcase this skill

• Expert-level proficiency in Python and deep familiarity with at least one major ML framework (e.g., PyTorch, TensorFlow, JAX)

• Strong software engineering fundamentals, including data structures, algorithms, and writing clean, maintainable code

• A "ship it" mentality and a deep-seated drive to build things that work

Other Requirements:

• Contributions to open-source projects, research tools, or datasets

• Experience building and deploying full-stack AI applications

• Familiarity with modern cloud infrastructure (GCP, AWS, etc.) and MLOps tools (Docker, Kubernetes)

• Experience with large-scale data processing and model optimization

• A public portfolio of projects (e.g., on GitHub) that demonstrates your building skills

Responsibilities:

• Design, build, and ship end-to-end AI prototypes and features with a high sense of urgency

• Own the entire development lifecycle: from understanding a vague problem statement to producing clean, scalable, production-level code

• Rapidly survey, select, and implement the most effective state-of-the-art models and techniques to solve immediate business problems

• Work independently to architect and build robust systems, making pragmatic trade-offs between perfection and speed

• Quickly ramp up on new domains, frameworks, and technologies as needed to get the job done

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• developing datasets, benchmarks, and models in pursuit of AI doctors and curing cancer