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

Education Requirements:

• Ph.D. in Zoology, Biology, or a closely related field from an accredited institution.

Experience Requirements:

• Proven track record of effective teaching at the university level, with experience in curriculum development.

• Strong research background with published work in reputable scientific journals.

Other Requirements:

• Excellent communication and interpersonal skills to engage with a diverse student body.

• Ability to integrate technology and innovative teaching methods in the classroom.

• Active participation in professional organizations related to zoology and biological sciences.

• Commitment to fostering an inclusive and supportive learning environment for all students.

Responsibilities:

• Develop and deliver high-quality lectures, seminars, and laboratory sessions in zoology and related biological sciences.

• Design and implement innovative curriculum and assessment methods that promote student engagement and learning outcomes.

• Conduct original research in zoology, contributing to academic publications and presenting findings at conferences.

• Supervise and mentor undergraduate and graduate students in research projects and academic pursuits.

• Participate in departmental meetings, committees, and community outreach programs to enhance the department’s reputation.

Education Requirements:

• preferably tier-1 college (IISc, IITs, NITs, BITS and others)

• Masters/PhD in Computer Science, Machine Learning, or related field preferred

Experience Requirements:

• 5-15 YOE

• Worked on at least 1 Computer vision problem statement in the past 5 years

• Have built, trained and deployed models on production before

• Experience with vision transformer architectures

• Experience optimizing models for production using ONNX/TensorRT','Background in handling high-resolution satellite/aerial imagery preferred

Other Requirements:

• Comfortable with WFO in Bangalore or Noida

• Happy to read research papers day in day out and train on terabytes of image data on big H100 clusters

• Strong foundation in computer vision and deep learning fundamentals

• Extensive experience training transformer models from scratch

• Expert-level proficiency in PyTorch

• Experience with ONNX or TensorRT model optimization and deployment

• Deep understanding of distributed computing and parallel processing

• Advanced Python knowledge, including multi-threading and multi-processing optimization

• Experience with semantic segmentation tasks

• Proven track record of handling large-scale data processing

Responsibilities:

• Design and implement transformer-based architecture for semantic segmentation of aerial imagery

• Develop efficient image-to-token and token-to-image conversion pipelines

• Create and maintain training datasets, including data cleaning, augmentation, and validation

• Optimize model training processes for distributed computing environments

• Implement efficient inference pipelines for production deployment','Collaborate with engineering team to integrate new models into existing infrastructure

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role

• A Computer Science background is required as opposed to statistics or pure mathematics

Experience Requirements:

• Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised

• Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)

• Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.

• Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.

• Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.

• Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.

• Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering

Experience Requirements:

• At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite

• Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc.

• Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage.

• Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions.

• Help out with ad-hoc one-off tasks as a team player within the AI team.

• Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality.

• Investigate weaknesses of models in production and work on pragmatic solutions.

Experience Requirements:

• 2 - 3 Years

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

Other Requirements:

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face).

• Strong grasp of machine learning concepts, model development lifecycle, and performance evaluation.

• Experience working with transformer-based architectures and generative techniques like GANs, VAEs, or diffusion models.

• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and MLOps tools.

• Excellent problem-solving, communication, and teamwork skills.

• Experience deploying models into production environments.

• Familiarity with LLM fine-tuning, prompt engineering, or synthetic data generation.

• Excellent communication and presentation skills are essential.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms for real-world applications.

• Research and experiment with Generative AI models (e.g., GPT, diffusion models, transformers) to solve complex problems.

• Collaborate in a culture of experimentation, contributing to PoCs, rapid prototyping, and iterative model development.

• Build and maintain data pipelines and infrastructure in collaboration with Data Engineers.

• Partner with cross-functional teams including product, engineering, and analytics to define AI/ML use cases and deliver impactful solutions.

Experience Requirements:

• 2 - 3 Years

• 2-4 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

Other Requirements:

• Proficient in data engineering tools and languages such as Python, SQL, and Java.

• Strong knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.

• Ability to work with databases(SQL & NoSQL) and perform complex data queries.

• Familiarity with data wrangling, ETL processes and data cleaning techniques.

• Clear understanding of data warehousing & cloud based analytics .

• Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Responsibilities:

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.

• Develop and maintain data reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, etc.)

• Collaborate with business teams to understand key business objectives and data needs.

• Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.

• Ensure data models and structures are well-designed to facilitate analysis and reporting.

Experience Requirements:

• Experience with deep learning and convolutional networks

• Strong theoretical and empirical research background

• Fluency with a deep learning framework and Python

• Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR

• Large scale machine learning experience working with terabytes of data

Other Requirements:

• Implemented custom operations/modules in a deep learning framework

• Imagination, ambition, and curiosity

Responsibilities:

• Develop highly scalable classifiers and detectors that solve real-world problems

• Learn and understand a large body of research in deep learning and machine learning

• Participate in cutting-edge research for medical applications of computer vision

Benefits:

• Lunch provided daily to onsite employees

• 250 lifestyle stipend per month

• Generous budget for self-improvement: coaching, courses, conferences, etc

• Actively co-create and participate in a positive, intentional team culture

• Frequent team events, dinners, off-sites, and hanging out

Experience Requirements:

• A track record of high-quality papers, open-source projects, or equivalent accomplishments in industry

• Experience with empirical research, with the ability to craft and execute on research projects that solve algorithmic and engineering problems

• 5+ years ML coding and/or research experience

Other Requirements:

• Great intuition with the ability to identify promising areas and avoid dead ends

• A preference for fast, collaborative research efforts

Responsibilities:

• Lead research initiatives in AI-assisted software development

• Develop SotA LLMs on agentic coding tasks via supervised and RL post-training

• Turn ambiguous problems into quantifiable ones

• Keep up to date with state-of-the-art techniques, and use good judgment on when to apply them

• Design and run ML experiments to drive a broader research agenda

Experience Requirements:

• 5 years experience as a data analyst

• Proven experience with ownership of cross-team projects

Other Requirements:

• Investigative and analytical problem-solving skills

• Proactive approach

• SQL and Python proficiency

• Fluency in English

• MongoDB, Neo4j: big advantage

Responsibilities:

• Drive Data-Informed R&D Direction

• Lead High-Impact Analytical Projects

• Mentor and Guide Other Analysts

• Collaborate Across Disciplines

• Participate in delivery of high profile leads to customers.

Benefits:

• Competitive salary with the chance to work on groundbreaking projects.

• Be a leader in the eco-tech movement, making real-world change in the fashion industry.

Experience Requirements:

• Experience in AI/ML, fashion tech, or sustainability-focused roles.

• Previous R&D experience (bonus points if you’ve worked with AI or fashion technologies!).

Other Requirements:

• A creative thinker who loves to innovate and solve complex challenges.

Responsibilities:

• Lead the development and enhancement of our AI-powered upcycling suggestions.

• Work closely with the tech team to evolve our machine-learning models.

• Stay on top of fashion and sustainability trends to inspire innovative solutions.

• Analyze user feedback to refine our app and make it even more user-friendly.

Benefits:

• Interesting and challenging work

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• A lot of learning and growth opportunities

• visa sponsorship and relocation assistance to San Francisco.

Experience Requirements:

• Work published in ICCV, ICML, Neurips, CVPR

Responsibilities:

• develop new methods to solve customers problems

• entirely novel training or architecture developments

• fine-tuning pre-existing models with novel datasets

Education Requirements:

• Masters in Computer Science, Robotics or equivalent

Experience Requirements:

• At least 2 years of experience in one or more of: motion planning for robotics, classical robot motion planning (e.g., RRTs, PRMs), machine learning/deep learning

• research experience in a related field and at least one high-quality publication in a peer-reviewed academic journal/conference

Other Requirements:

• Be knowledgeable and comfortable in working with physical simulations (e.g., Gazebo, Bullet, MuJoCo, IsaacSim, etc.) to implement motion planning/machine learning algorithms

• Solid Experience programming in C++, Python, and ideally Jax

Responsibilities:

• Develop new motion planning approaches for single and multi-robot planning, starting from existing prototypes

• Exploit advances in machine learning (e.g,. graph nets, deep-learning, transformer models, etc.) for developing novel data-driven motion planning systems

• Implement state of the art algorithms and libraries in Python, C++, and Jax

• Bring problems from industrial partners to functional new solutions with very high reliability and performance

• Distill recent robotics/ML research publications for target problems and implement promising solutions

Education Requirements:

• Skills in foundational domains like math and computer science

Experience Requirements:

• Minimal experience but provable learning capacity

Other Requirements:

• Share the 5 most recent papers you read

• Share one common assumption you think may be wrong (e.g., diffusion models should use Gaussian noise)

• Explain which Hotpot products interest you most

Responsibilities:

• Developing datasets

• Developing benchmarks

• Developing models in pursuit of AI doctors and curing cancer

Education Requirements:

• Must be in pursuit of a Bachelor’s Degree or possessing one

Experience Requirements:

• Basic knowledge of Image Processing/Computer Vision (plus)

• Experience with data annotation tools like CVAT or TORAS (plus)

Other Requirements:

• Motivated self-starter and team player with strong communication and problem-solving skills

• Detail-oriented, hardworking, and enthusiastic

Responsibilities:

• Helping to annotate image data via computer using various open-source software programs

• Crawling the internet to build datasets when or if needed

• Teamwork in an Agile environment

• Working with the R&D team to help build machine learning algorithms

• Effective communication with engineers

Benefits:

• Research experiences both in academia and industry

• Possibility of paper publication

• 6-months working contract

• Flexible remote work with global availability

Experience Requirements:

• Knowledge of PyTorch, deep learning, neural networks, C++

• Knowledge of good software development practice, e.g. git, documentation

• Knowledge of reinforcement learning and robot physical simulation

• Knowledge of SMPL, SMPL-X, or character animation

• At least one paper in CVPR/ICCV/ECCV/IROS/ICRA or equivalent

Responsibilities:

• Creating a workflow to transfer motions from SMPL-X to humanoids (e.g. Unitree G1) in simulation

• Developing an algorithm to perform cross-embodiment motion tracking

• Evaluating the performance of the tracking algorithm

• Combining generating motion models (e.g. diffusion models) to the tracking algorithm

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Advanced language skills and verifiable experience as being fluent in Mandarin

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing in Mandarin

• Judging the performance of AI in performing Mandarin prompts

• Improving cutting-edge AI models

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Python developer skills and verifiable professional experience as a Python developer

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing Python

• Judging the performance of AI in performing Python-related prompts

• Improving cutting-edge AI models

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Python developer skills and verifiable professional experience as a Python developer

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing Python

• Judging the performance of AI in performing Python-related prompts

• Improving cutting-edge AI models

Benefits:

• Generous share options

• Tax-efficient EMI share option scheme

Experience Requirements:

• Deep learning expertise with significant industry experience

• c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation

• Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX

• Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models

• Deep knowledge of machine learning fundamentals and cloud experience

Other Requirements:

• Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with

• Excellent verbal and written communication skills with a proven track record of mentoring and coaching others

• Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders

• Use of Python libraries that encourage best practices such as pytest, pylint, black etc.

• Experience with symbolic reasoning engines and integration with neural networks

Responsibilities:

• Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems

• Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning

• Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment

• Write high-quality, robust code that integrates neural and symbolic components

• Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences