AI Jobs

Education Requirements:

• B.S./M.S. in Biochemistry, Biophysics, or a related field

Experience Requirements:

• minimum 1 year of academic or industry lab experience.

Responsibilities:

• Design and execute routine biophysical assays from beginning to end using methods such as SPR, DSF, and other biophysical techniques to characterize small molecule-protein interactions.

• Routinely and independently analyze & QC experimental data.

• Program, validate, and operate liquid-handling automation (Biomek Liquid handler, Multidrop Combi, Integra Viaflo & Voyager) for 384-well plate-based assays and use instrumentation such as plate readers for reproducible, publication-quality data generation.

• Communicate results efficiently & precisely in written format by maintaining electronic lab notebook.

• Presents work to supervisor, lab and/or project meeting.

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:

• A BSc, MSc, or PhD degree in immunology, molecular and cell biology, biochemistry or a related field

Experience Requirements:

• 8+, 5+ or 2+ years of relevant industry experience, respectively.

Responsibilities:

• Autonomously plan, design, and execute biochemical and cell-based experiments to support our I&I pipeline.

• Maintain a hands-on approach while being an open-minded, flexible team player.

• Analyze, interpret and integrate complex datasets across multiple assay types.

• Document data meticulously using ELN and state-of-the-art analyses.

• Stay at the forefront of latest research through literature review and critical evaluation of available data sources.

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.

Responsibilities:

• Working with a small team of engineers, designers, and data scientists to ideate, design, and build a new product.

• Experimenting with new techniques to improve our transcreation algorithms.

• Thinking creatively to propose new methods of boosting the quality of the transcreated campaigns.

• Adapting the models to adjust to the requirements of different publishing platforms.

• Mentoring your teammates, creating opportunities for their growth, and fostering a collaborative culture.

Benefits:

• Remote first

• Comprehensive benefits

• Learning and development

• Paid time off

Experience Requirements:

• Proven experience as a Prompt Engineer or similar role in AI development.

• Proficient in designing and developing high-quality prompts for AI, particularly in conversational systems.

• Strong knowledge and experience in NLP and AI model fine-tuning.

• Excellent collaborative skills, with the ability to work closely with stakeholders to meet desired outcomes.

• Familiarity with recent advancements in AI technologies, such as Langchain, GPT-Index, and Agent GPT.

Responsibilities:

• Design, develop, and refine prompt patterns for AI applications to facilitate efficient and meaningful conversations.

• Collaborate with stakeholders to identify key prompt requirements and incorporate them into AI design.

• Test, troubleshoot, and optimize prompts to meet desired outcomes and to improve conversational quality and consistency.

• Design, develop, and maintain natural language processing (NLP) models, particularly for generating high-quality prompts for conversational AI systems such as ChatGPT, AutoGPT, and Turn-based Agents.

Benefits:

• Flexible hours

• Remote work

• Competitive compensation

• Opportunity to learn and work in AI, and to make a positive impact on the development of the AI industry

• Opportunity to expand to other AI-related projects

Experience Requirements:

• Must be eligible to work in United Kingdom

• US English language speaker with good writing and proofreading skills

• Good knowledge of Finance subjects and the ability to craft original responses

• Excellent attention to detail

• A learning mindset - no prior experience in AI is needed

Responsibilities:

• Your main responsibility will be to create, evaluate, and refine pairs of prompts and responses for a sophisticated LLM.

Responsibilities:

• Training large scale Diffusion (transformer) models for image and video

• Rigorously ablating design choices and communicating results & decisions with the broader team

• Reasoning about the speed and quality trade-offs of neural network architectures

Responsibilities:

• Run the development and training of state-of-the-art multimodal vision-language models within the FLUX technology stack

• Design and implement specialized fine-tuning strategies for VLMs to address specific use cases and performance requirements

• Develop and optimize LLM implementations for prompt enhancement, content moderation, and novel applications

Experience Requirements:

• 4+ Years Exp.

• Programming Languages: Python, R, or Java

• Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch

• Database and Data Manipulation: Big data technologies like Apache Spark

• Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker

Responsibilities:

• Data Science Engineer I - Analyze data, drive insights, and innovate solutions

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

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

Experience Requirements:

• 3+ years of experience in data analysis, preferably within ESG or Sustainability domain

Other Requirements:

• Proficiency in data analysis tools such as Python, R, or SQL

• Experience with data visualization tools like Power BI, Tableau, or equivalent

• Strong statistical knowledge and the ability to interpret complex data sets

• Excellent communication skills with the ability to translate data insights into business recommendations

• Ability to work both independently and as part of a team

Responsibilities:

• Perform detailed analysis on structured and unstructured datasets to identify trends, correlations, and insights

• Work closely with cross-functional teams to understand data requirements and business objectives

• Use statistical techniques to interpret and visualize data trends

• Generate reports and dashboards to communicate findings to stakeholders

• Identify and suggest improvements in data collection, reporting, and analysis processes

Benefits:

• Flexible working arrangement remotely or hybrid

Experience Requirements:

• 1-3 years experience working with data, and coding experience in R/Python (including relevant internship experiences)

Other Requirements:

• Are comfortable with open ended challenges and finding creative solutions

• Are interested in ESG, cultural shifts and the digital landscape

• Have the drive to learn and master new technologies and techniques

• Have strong written and communication skills (English), especially in the multidisciplinary team

Responsibilities:

• Develop models and analytical frameworks designed for the sharpest insights and professionals in the world, helping them priorities the ESG issues that matter most to their business and spot where the next big opportunities and change will come from

• Aggregate information from open data sources and third party data

• Build a complete picture of sustainability performance using search, social & alternative data sources

• Projects run end-to-end: from dataset design, to data gathering, aggregation, cleaning, modelling and visualization

Experience Requirements:

• Excellent skills in research, writing and communications

• Time management and organizational skills

• Vision for corporate design addressing both consumer and business segments

• Passionate about learning and identifying creative materials

Other Requirements:

• Proactively suggest new inputs and ideas in digital assets for sustainability themes

• Detail-oriented, dependable, and organized

Responsibilities:

• Shape product vision in partnership with product, CEO, and data scientist

• Be subject matter expert on regulator and voluntary sustainability requirements for team and customers globally

• Support build of sustainability specific requirements in partnership with product team

• Support business development, investor pitches and proof of concepts with sustainable finance expertise

• Be face of company and develop sustainability thought leadership in tandem with CEO

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

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences