Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes

Benefits:

• Competitive compensation package that includes salary and equity

• Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees)

• 401(k) plan

• Open (unlimited) PTO policy

• Free lunches and dinners at our offices

Education Requirements:

• PhD in machine learning, computer science, other computational sciences or equivalent research experience (nice to have)

Experience Requirements:

• A portfolio of novel research in one or more cutting-edge domains of generative or predictive modeling (e.g., diffusion, flow matching, RL, foundation model architectures and training methods)

• Hands-on experience with Pytorch, Pytorch Lightning, Ray Distributed Training, Pytorch Geometric, etc. (nice to have)

• Experience in distributed training and inference of large models on GPU clusters (nice to have)

Other Requirements:

• A strong coder, comfortable with going deep into the engineering stack to build, debug, and ship your own models

• An independent, first-principles thinker with a strong sense of ownership

• A true team player with strong communication skills

• Familiarity with molecular data, (proteins, small molecules), physics-informed ML, or 3D point cloud data (nice to have)

Responsibilities:

• Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems

• Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas

• Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses

• Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform

• Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences

Education Requirements:

• Currently enrolled in a PhD program in Computer Science or a related technical field

• Returning to a degree program after completion of the internship

Experience Requirements:

• Experience in one or more areas of Computer Science, such as Large Language Model, Natural Language Processing, Natural Language Understanding, Neural Networks, Machine Learning, Deep Learning, Graph Representation, Data Management, Data Integration, Human-Computer Interaction, AI with Humans In The Loop or similar

• Proficiency in one or more programming languages including C/C++, Java, Python or Javascript to rapidly turn research ideas into software prototypes

• Contribution to research communities and/or efforts, including publishing papers (i.e. being listed as author) in major conferences or journals

Other Requirements:

• Ability to design and execute a research agenda

• Applicants must have or be able to obtain appropriate U.S. work authorization for the internship period

• Available to work full time for 12 weeks during the respective term

Responsibilities:

• Focus on high-impact projects while closely working with our Research Scientists as their mentors

• Participate in cutting-edge research for real-world and large-scale problems, aiming to publish papers at top-tier conferences

• Develop multi-agent systems to extend LLM capabilities for complex real-world tasks across specialized domains

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

• Outstanding publication and service track record commensurate with experience

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

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

Other Requirements:

• Ability to design and execute a research agenda

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

Education Requirements:

• A PhD or equivalent research experience

Experience Requirements:

• 2–3+ years of hands-on experience applying generative models at scale

• Expertise in diffusion models and awareness of the latest efficiency techniques

• Experience in multimodal generation — spanning video, audio, and language

• Proven innovation in long-video generation and/or audio generation

• Track record of publications in top-tier venues (CVPR, NeurIPS, BMVC, ICASSP, etc.)

Other Requirements:

• Excellent programming skills — fluent in PyTorch and GPU-optimized workflows

• Experience leading research activities or mentoring teams

• Skills in 3D graphics, Gaussian splatting, or large-scale training setups (nice-to-have)

• Broad exposure to generative AI models beyond your specialty (nice-to-have)

• Familiarity with software development best practices (nice-to-have)

Responsibilities:

• Lead research efforts on audio-visual generation for avatars (Neural Avatars, Talking-Heads), with a focus on conversational settings

• Design models that are coupled with conversation flow — capturing and generating verbal + non-verbal signals in sync

• Drive innovation in diffusion models, long-video generation, and audio-visual modeling

• Translate research into production by partnering with Applied ML and engineering

• Mentor researchers, set research directions, and publish impactful work

Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes

Benefits:

• Flexibility and freedom of remote work

• Flexible and inclusive work environment

Responsibilities:

• Help us research the future of remote work with AI

Benefits:

• Gain valuable experience in the growing field of artificial intelligence and its application in diverse business settings

Education Requirements:

• A bachelor or higher degree in linguistics, communication, psychology, social sciences, literature, or equivalent.

Experience Requirements:

• Excellent reading and writing skills in casual and business English

• Experience in managing multiple projects by deadlines

• Experience in writing dialogs such as screenplays

• Experience in labeling conversational text for analysis

• Computer science training

Other Requirements:

• Open-minded, multi-talented individuals

• Sensitive to the nuances of interpersonal communication

• Adept at writing conversations

• Comfortable working with customers and as well as with new technologies

Responsibilities:

• Teach our AI assistants natural language understanding and communication skills

• Deliver fun and satisfying conversational experience

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Degree in a quantitative field, or equivalent work experience

• Advanced degree is preferred

Experience Requirements:

• 3+ years working experience in data science, data analysis, or analytics engineering

• 2+ years experience working with massive real-life datasets

• Extensive understanding of supervised and unsupervised machine learning methods

• Proficiency writing clean, performant code in Python

• Experience querying relational databases with SQL

Other Requirements:

• Experience with cloud tools in AWS, Azure, Databricks, or GCP

• Excellent verbal and written communicator

• Experience in identity verification and fraud prevention strongly preferred

Responsibilities:

• Analyze massive customer data sets and provide actionable insights

• Act as a Data Science advocate to educate and influence customers

• Create convincing data stories to showcase model performance

• Provide thought leadership for next generation core models

• Create tools and automated workflows to improve analysis speed and accuracy

Benefits:

• Multi-agent systems development for production

• Work with cutting edge research experts

• Bonus program

• Training budget

• Chance to develop and grow

Education Requirements:

• M.Sc. in data science, machine learning, or similar quantitative field

• PhD in quantitative field (preferred)

Experience Requirements:

• 6+ years of experience in data science or applied machine learning

• 2–3 years in leadership or team lead capacity

Other Requirements:

• Client facing experience in technically driven project communications

• Strong applied knowledge of supervised and unsupervised machine learning

• Proficiency in Python and deep learning frameworks

• Working knowledge of SQL/NoSQL/Vector databases

• Fluency in English (written and spoken)

Responsibilities:

• Translate the department’s strategic vision into actionable data science projects

• Oversee and support design and implementation of scalable AI and data science solutions

• Manage project prioritization, resources, and timelines

• Provide strategical oversight and architectural guidance for data science solutions

• Mentor and support the professional growth of data scientists and engineers