AI Jobs

Education Requirements:

• Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields.

Responsibilities:

• Lead a research project, which will be broadly focused on a problem related to generative or predictive modeling of molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and hypotheses.

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.

Responsibilities:

• Lead transformative research projects that enhance the Genesis AI platform's capabilities, focusing on generative models for molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and work closely with engineers to ship state-of-the-art models to production.

• Contribute to the research community by publishing some of our findings in the form of research papers and blog posts at top tier AI/ML venues (NeurIPS, ICML, ICLR, etc.), attending conferences and workshops, and engaging in continuous learning and knowledge exchange.

Benefits:

• Competitive Pay

• Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees)

• Stock Option Eligibility

• 401(k) Plan

• Open PTO Policy Paid Company Holidays Free lunch and snacks at our offices

Education Requirements:

• PhD in Computational Chemistry, Structural Biology, or a related field.

Experience Requirements:

• Minimum of 1-2 years of industry experience as a CADD scientist in pharma or biotech, with hands-on experience in active drug discovery programs.

Responsibilities:

• Utilize a combination of industry-standard and proprietary AI-powered CADD tools to guide small molecule drug discovery programs across a diverse target portfolio, including novel targets with limited chemical precedents.

• Use approaches like virtual screening, molecular simulation, and potency and ADMET prediction to support key decision-making in drug discovery efforts.

• Collaborate closely with medicinal chemists in molecular design and the development of project-specific computational approaches.

• Act as a cross-team connector, effectively communicating between our computational chemistry and medicinal chemistry teams to ensure seamless information flow and collaborative decision making.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for the ML Research group, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for an ML Research team, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Benefits:

• Remote first

• Comprehensive benefits

• Learning and development

• Paid time off

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Education Requirements:

• Currently pursuing a degree in Sports Management, Statistics, Mathematics, Data Science, Economics, or a related field. Recent graduates may also be considered

Experience Requirements:

• Strong proficiency in data analysis tools such as Excel, R, Python, and SQL. Familiarity with sports analytics platforms is a plus

• Basic understanding of statistical techniques (regression analysis, correlation, hypothesis testing, etc.)

• Passion for sports and understanding of various sports

• Excellent communication skills, both written and verbal, with the ability to convey complex data findings in an easy-to-understand format

• Strong attention to detail and problem-solving skills

Responsibilities:

• Assist in gathering and organizing data from various sources, including game statistics, player performance data, and historical records

• Maintain and update databases to ensure accuracy and reliability of information

• Help with cleaning and preprocessing raw data to make it suitable for analysis

• Analyze sports data using statistical methods and software (e.g., Excel, R, Python, SQL, etc.) to generate insights about player performance, team dynamics, and other relevant metrics

• Support the creation of visualizations (charts, graphs, dashboards) to present data findings in a clear and understandable way

Experience Requirements:

• 8+ years of experience in data analysis

Other Requirements:

• Proactive, entrepreneurial, and collaborative

• Strong familiarity with tools like Adobe Analytics/Omniture, Mixpanel, Heap, Amplitude, Google Analytics 360, GA4, Google Search Console, Billing systems, etc.

• Experience with database analysis (SQL, R, Python, BigQuery, Snowflake, Airflow, etc.)

• Clear understanding of statistics, predictive analytics, and machine learning

• Experience in business analytics

Responsibilities:

• Work with clients to understand pain points and translate them into requirements for queries and models

• Design tables and views providing ongoing data in useful formats

• Identify key insights not being tracked and predicted in software

• Assist Dev and QA in ensuring accuracy and understandability of client deliverables

• Collaborate with design and development team to make adjustments to models, presentation layers, and queries

Education Requirements:

• PhD or Master’s degree in Computer Science or equivalent industry experience

Experience Requirements:

• 2+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use

• Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)

• Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)

• Experience communicating complex research to peers

• Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems

Other Requirements:

• Experience in low-level machine learning optimization, such as writing CUDA kernel code

Education Requirements:

• Doctoral

Benefits:

• Generously matched contributions

• Vitality Health (London employees)

• Life insurance (London employees)

• 25 days holiday plus bank holidays

• Learning & development fund

Other Requirements:

• Bilingual - Hindi/English

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. Ph.D. preferred

Experience Requirements:

• 5+ years of industry experience in machine learning engineering or related roles

Other Requirements:

• Expertise in machine learning techniques

• Proficiency in programming languages such as Python

• Strong understanding of cloud computing platforms

• Hands-on experience with containerization technologies

• Solid understanding of software engineering best practices

• Excellent problem-solving skills

• Strong communication and collaboration skills

Responsibilities:

• Design, develop, and deploy state-of-the-art machine learning algorithms and models

• Collaborate with cross-functional teams

• Lead end-to-end machine learning projects

• Architect scalable and efficient ML pipelines

• Optimize model performance and scalability

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Benefits:

• Competitive salary and equity

• Medical, dental, vision benefits

• Learning budget per year

• Unlimited PTO policy with minimum time off requirements

• Flexible working hours on many teams

Education Requirements:

• PhD

• Master's degree and 3+ years of experience

Experience Requirements:

• Significant hands-on experience in AI/ML, specifically with large datasets

• Strong coding skills with experience in cloud computing

• Good communication skills

Other Requirements:

• Domain expertise in climate is a plus

• Strong communication skills

Responsibilities:

• Building applications of GenAI approaches to solve forecasting and interpretation challenges in climate science

• Improving food and climate security outcomes

• Working cross-functionally with climate scientists, ML engineers, software engineers, and business teams