Experience Requirements:

• Deep research domain knowledge in LLM safety techniques

• Extensive research experience in aligning, training, and/or attacking multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Spearhead an LLM research domain with a focus on safety, quality, explainability, evaluation, and/or adversarial attacks

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations

• Lead research projects end-to-end

• Deliver generalizable, scalable, and reproducible algorithms

Education Requirements:

• MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject

• Will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience

Experience Requirements:

• 2+ years of experience on machine learning teams, ideally at a start-up

• 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch

Other Requirements:

• Track record of contributing to novel methods for state-of-the-art Deep Learning (in industry or through publications) including large-scale Transformers, Graph Neural Nets, ConvNets, etc.

• Experience with Python is required

• Relevant experience working in a Linux/UNIX environment with basic data engineering and scripting abilities

• Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly

• Clearly communicate modeling setup and results at various levels of abstraction

Responsibilities:

• Scientifically direct the design and training of large-scale, state-of-the-art Deep Learning systems

• Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems

• Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches

• Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends

Education Requirements:

• PhD in Chemical Biology, Proteomics, or related field

Experience Requirements:

• 5+ years in industry experience focused on small molecule drug discovery at pharmaceutical or biotech companies, with a track record in leading small molecule proteomic initiatives

Other Requirements:

• Proven experience in proteomics research and small molecule drug discovery

• Track record in designing and executing complex scientific experiments

• Computational affinity, worked with computational biologists

• Experience in managing a team of PhD researchers

• Familiarity with AI applications in proteomics and drug discovery

• Strong budget management skills

• Excellent communication skills, adept at summarizing scientific progress for various audiences

Responsibilities:

• Drive the scientific strategy, aligning our proteomics research with AI-driven drug discovery initiatives

• Lead and nurture a team of PhD researchers, promoting a culture of innovation and discovery

• Oversee lab operations and facilities, maintaining an environment that fosters excellence and safety

• Plan and steer ambitious proteomics experiments, making key decisions to shape our scientific trajectory

• Prudently invest in state-of-the-art lab hardware to keep us on the cutting edge of proteomics research Bridge the gap between lab teams and computational workstreams, fostering a synergistic environment that maximizes data utility Manage and optimize the lab budget, ensuring resources are strategically allocated Provide regular updates on scientific progress, keeping stakeholders informed and inspired

Education Requirements:

• MSc or PhD degree in computational biology, bioinformatics or a related field

Experience Requirements:

• Possess mixed academic and/or industrial experience, preferably in the biotech industry

Other Requirements:

• Strong background in computational structural or systems biology

• Strong programming skills in Python, R and/or other languages

• Experience building reproducible and scalable computational biology workflows

• Experience designing and applying machine learning models

Responsibilities:

• Develop pilot capabilities and create large-scale data pipelines from the ground up

• Collaborate with other teams across VantAI and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects

• Integrate biological insights into the next generation of AI/ML models for drug discovery

• Validate and interpret computational predictions by working closely with experimentalists

Education Requirements:

• MSc/PhD degree in Chemistry, Computational Chemistry, Biochemistry, Chemical Engineering, or another related subject

Experience Requirements:

• Minimum 2 years (PhD) or 4 years (MSc) of post-graduate experience in small-molecule drug discovery

Other Requirements:

• Proven track-record in advancing drug discovery projects using in-silico methods; strong background in rational drug design

• Ability to adapt well to a fast-paced environment and get things done by combining creativity, problem-solving skills, and a can-do attitude to overcome obstacles

• Extensive experience in large-scale virtual screening using structure and ligand-based methods for hit identification and optimization

• Strong programming skills with at least 2 years of experience using Python for data analysis

• Excellent written and verbal communication skills along with a strong desire to work in cross-functional teams

Responsibilities:

• Lead small-molecule drug discovery projects using internal and external Machine Learning and CADD tools

• Drive drug discovery programs forward by quickly developing scalable tools to address specific project needs

• Work independently and in collaboration with Medicinal Chemists to prioritize small-molecule designs, clearly communicating the decisions to interdisciplinary audiences

• Collaborate with experts from other fields (e.g., Medicinal Chemistry, Machine Learning, Computational and Structural Biology, etc.) to advance integrated in-silico discovery platforms

• Design and execute large-scale virtual screening campaigns using both ligand and structure-based approaches

Education Requirements:

• Graduates of a reputable university

Experience Requirements:

• 8+ years in working on machine learning and deep learning algorithms (computer vision experience required)

• Prior experience in managing a team of data scientists

Other Requirements:

• Conceptual and applied understanding of key machine learning technologies like transformers

• Ability to explain complex technical problems in simple terms

• Ability to translate business questions into data science problems

Responsibilities:

• Lead the development of a mission-critical technical product

• Manage the product development team

• Lead the IP development of company and participate in publication writing

Education Requirements:

• Graduates of a reputable university

Experience Requirements:

• 3-5 years in working on machine learning and deep learning algorithms (computer vision experience required)

Other Requirements:

• Conceptual and applied understanding of key machine learning technologies like transformers

• Prior experience in deploying machine learning algorithms

• Collaboration skills for liaising with different stakeholders in understanding their requirements

• Passionate about healthcare and compassionate towards solving problems for social impact

• Leadership skills for leading a diverse team

Responsibilities:

• Ownership of a mission-critical product

• 0 to 1 product development

• Communicating with key stakeholders in the organization

• Passionate about healthcare and compassionate towards solving problems for social impact

• Leadership skills for leading a diverse team

Education Requirements:

• Extensive experience in working on machine learning and deep learning algorithms (eg. NLP, computer vision)

• Conceptual and applied understanding of machine learning technologies like transformers

• Prior experience in deploying machine learning algorithms

Other Requirements:

• Passionate about healthcare and compassionate towards solving problems for social impact, using data science

Responsibilities:

• Project ownership

• 0 to 1 algorithm/model development

• Communicating with key stakeholders in the organization

• Passionate about healthcare and compassionate towards solving problems for social impact, using data science

Benefits:

• Sport subscription

• Medical insurance

• Training budget

• Modern Office, no dress code & young team

• Bonus policy

Experience Requirements:

• Experience with deep learning algorithms applied to various areas of Computer Vision

• Familiarity with popular architectures such as Vision Transformers, DeepLabv3, SegFormer, etc

• Good understanding of transfer learning and popular augmentation techniques

• Proven experience in tackling common computer vision tasks including image classification, detection, segmentation, face recognition, pose estimation, etc

• Working knowledge of CV-related training procedures, validation techniques and datasets

Other Requirements:

• The ability to apply machine learning to real-life problems

• Good knowledge of machine learning algorithms, model training, hyper parameter tuning

• Working knowledge of deep learning models, loss functions, and performance measures

• Strong Python skills, hands-on proficiency in using machine learning tools: Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras

• The ability to share your knowledge and willingness to learn continuously

• English B2+ level at minimum

Responsibilities:

• Developing Deep Learning solutions in various Computer Vision tasks

• Developing the methodology and assessment criteria to measure solution performance

• Tracking and implementing recent advancements in Deep Learning and Computer Vision areas

• Maintaining internal ML-products

Benefits:

• Sport subscription

• Medical insurance

• Training budget

• Modern Office, no dress code & young team

• Bonus policy

Experience Requirements:

• Experience with deep learning algorithms applied to various areas of Computer Vision

• Familiarity with popular architectures such as Vision Transformers, DeepLabv3, SegFormer, etc

• Good understanding of transfer learning and popular augmentation techniques

• Proven experience in tackling common computer vision tasks including image classification, detection, segmentation, face recognition, pose estimation, etc

• Working knowledge of CV-related training procedures, validation techniques and datasets

Other Requirements:

• The ability to apply machine learning to real-life problems

• Good knowledge of machine learning algorithms, model training, hyper parameter tuning

• Working knowledge of deep learning models, loss functions, and performance measures

• Strong Python skills, hands-on proficiency in using machine learning tools: Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras

• The ability to share your knowledge and willingness to learn continuously

• English B2+ level at minimum

Responsibilities:

• Developing Deep Learning solutions in various Computer Vision tasks

• Developing the methodology and assessment criteria to measure solution performance

• Tracking and implementing recent advancements in Deep Learning and Computer Vision areas

• Maintaining internal ML-products

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Gujrati Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Gujrati, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Gujrati language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Gujrati, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Gujrati, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Gujrati

• Work on data collection, annotation, and validation tasks for training conversational AI models in Gujrati, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Assamese Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Assamese, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Assamese language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Assamese, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Assamese, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Assamese

• Work on data collection, annotation, and validation tasks for training conversational AI models in Assamese, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Odia Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Odia, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Odia language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Odia, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Odia, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Odia

• Work on data collection, annotation, and validation tasks for training conversational AI models in Odia, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Marathi Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Marathi, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Marathi language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Marathi, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Marathi, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Marathi

• Work on data collection, annotation, and validation tasks for training conversational AI models in Marathi, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Bengali Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Bengali, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Bengali language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Bengali, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Bengali, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Bengali

• Work on data collection, annotation, and validation tasks for training conversational AI models in Bengali, ensuring high-quality, diverse, and representative language data

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

Experience Requirements:

• 4+ years of working knowledge of Python, R and SQL

Other Requirements:

• Ability to work in startup culture

• Analytical and data science skills

• Ability to process the data in real-time streams to detect patterns and anomalies

Responsibilities:

• Design, develop, and evaluate machine learning models

• Build and enhance predictive and forecasting models on various business insights

• Enhance our data-informed decision making system

Experience Requirements:

• Proven experience as a Data Scientist or similar role

• Proficiency in SQL, Python, R

• Experience with data visualization tools (Tableau, Power BI)

Other Requirements:

• Familiarity with EarlyAI

Responsibilities:

• Analyzing data from extension (developer code, test analysis, coverage metrics)

• Driving data-driven decisions to enhance product

• Providing actionable insights to development team

Education Requirements:

• Currently pursuing a Master's or PhD in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.

• Graduating by May 2026

Experience Requirements:

• Strong programming skills in Python, with experience in developing and debugging ML models.

• Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with computer vision tasks.

• A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis.

• Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks

Responsibilities:

• Develop an initial prototype to detect paint lines and curbs on roadways.

• Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system.

• Assist in the development and tuning of machine learning models to enhance performance and accuracy

Education Requirements:

• Masters or PhD in ML or Computer Vision

Experience Requirements:

• Experience building and training 2D or 3D computer vision deep neural networks.

• A proven track record of leading projects and mentoring junior engineers.

• Proficiency in programming languages relevant to ML and CV, particularly Python and C++ (or equivalent languages), with the ability to write efficient, maintainable code.

• Ability to independently manage and track progress on projects, demonstrating a high degree of self-motivation and accountability

Responsibilities:

• Develop and optimize advanced machine learning and computer vision models.

• Innovate and experiment with novel model architectures, aiming to enhance our 3D geospatial model's accuracy and efficiency.

• Apply your expertise to improve feature detection and localization in 2D imagery and 3D point cloud data.

• Work collaboratively within a team of engineers, contributing to a culture of innovation and knowledge sharing.

• Mentor and guide junior team members, fostering an environment of growth and learning