Experience Requirements:

• Have 3+ years of AI/ML engineering experience building real-world applications

• have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms

• Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks

• Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs

• Excellent communication skills and ability to collaborate with full stack roles

Other Requirements:

• Familiar with the full stack Typescript/React/NextJS, Python, Postgres

• Interested in writing technical blogs to establish Onyx is leader in the space

Responsibilities:

• Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms

• Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.

• Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx

• Own the approach from inception to validation to production code

• Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy

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.

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

• Strong publication record

• Ability to design and execute a research agenda.

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

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.

Benefits:

• Competitive salary and stock options

Education Requirements:

• Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields

Experience Requirements:

• Experienced in Natural Language Processing, Computer Vision or Speech Processing

• Familiar with programming languages such as Python and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax

• Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)

• Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models

Other Requirements:

• Excellent written and verbal technical communication skills in English

Responsibilities:

• Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms

• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning, while being connected with the engineering team

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analyst level or above

• Strong proficiency in SQL, Python, and advanced statistical analysis

• Strategic mindset with deep understanding of business dynamics

• Strong communication and influence skills

• Ability to build organizational analytical capabilities

Other Requirements:

• Demonstrated ability to create business value through analytical influence and product thinking

Responsibilities:

• Influence company-wide strategic direction by identifying high-impact analytical opportunities

• Develop and maintain scalable analytical methodologies and frameworks

• Champion adoption of advanced analytical approaches, including A/B testing and experimentation

• Propagate analytical excellence across teams through mentoring, documentation, and knowledge sharing

• Collaborate closely with executives and cross-functional teams

Experience Requirements:

• 3+ years of experience in ML research, with a strong foundation in model architecture, optimization, and validation techniques

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch

Education Requirements:

• PhD Student in Computer Science, Artificial Intelligence, or a related field, or equivalent senior research experience

Experience Requirements:

• Deep expertise in diffusion, transformer, and multimodal generation models (e.g., text-to-video, image-to-video, video-to-video)

• Proficiency in PyTorch and distributed training frameworks

• Research contributions demonstrated through publications in top AI conferences (e.g., NeurIPS, CVPR, ICCV, SIGGRAPH)

• Familiarity with AI filmmaking tools and workflows (e.g., MidJourney, Runway, Wan, ComfyUI)

• Interest in AI filmmaking or experience creating your own AI short films

Responsibilities:

• Participant in training and fine-tuning of image and video generative models on clusters with hundreds to thousands of GPUs

• Research and develop advanced training strategies, including continuous training, RL-based post-training for advanced capabilities(e.g., reasoning, controllability, consistency), and unified text-image-video Auto-regressive modeling

• Design and optimize high-quality data pipelines to enable effective multimodal training with large-scale domain specific datasets

• Build automated evaluation frameworks to assess fidelity, coherence, and adherence to input conditions

• Collaborate with researchers, engineers, and creative teams to translate research breakthroughs into practical filmmaking production workflows

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

Experience Requirements:

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects is preferred

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

Experience Requirements:

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Benefits:

• An open and inclusive culture and work environment

• Full health and dental benefits, including a separate budget to take care of your mental health

• 100% Parental Leave top-up for up to 6 months

• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

• 6 weeks of vacation (30 working days!)

Education Requirements:

• Have a PhD (or equivalent research experience) with a strong track record of publications in ML, AI, statistics, or related fields.

Experience Requirements:

• Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration.

• Have solid machine learning and NLP fundamentals, with experience in shaping and executing original research.

• Enjoy collaborating across disciplines and geographies.

• Care about mentoring and supporting the next generation of researchers.

Responsibilities:

• drive an independent, high-impact research agenda on frontier topics in AI.

• ask ambitious questions, explore the unknown, and publish your findings openly.

• advancing frontier research with global collaborations

• guiding new researchers

• opening doors for broader participation in ML research.

Benefits:

• Flexible (Unlimited) Paid Time Off

• Medical, Dental, and Vision benefits for you and your family

• Life Insurance and Disability Benefits

• Access to a 401(k) retirement savings plan (for U.S. employees)

• Paid Parental Leave

Experience Requirements:

• 4+ year experience

• Expert in SQL and Python or R

• Robust understanding of statistical and machine learning methods

• Storytelling through data

• Experience with data transformation tools and data orchestration tools

Other Requirements:

• Legally authorized to work in Canada and/or the United States

Responsibilities:

• Drive strategic insights

• Deliver clarity

• Set up data infrastructure

• Empower self-serve analytics

• Champion a data-driven culture

Education Requirements:

• Bachelor’s degree in Computer Science, Cybersecurity, Forensic Analysis, or related field.

• Advanced degree or certifications in blockchain technology or cybersecurity is a plus.

Experience Requirements:

• Proven experience as a Crypto Investigator or similar role in blockchain technology.

• Experience with instructional design or training delivery in blockchain fundamentals and investigative techniques.

• Experience with data analysis tools and methodologies.

• Experience in a teaching or mentorship role, especially related to technology or cybersecurity.

Other Requirements:

• Strong understanding of blockchain fundamentals, particularly Ethereum and other EVM-compatible blockchains.

• Proficient in smart contract programming languages such as Solidity and familiarity with other languages like Rust or C++.

• Experienced with tools for blockchain analysis like Etherscan, BlockSec, and others specific to Solana and other blockchains.

• Ability to conduct comprehensive static and dynamic analysis of smart contracts.

• Knowledgeable in forensic best practices and legal standards related to crypto investigations, with the ability to impart this knowledge to law enforcement personnel.

Responsibilities:

• Conduct detailed investigations of blockchain transactions to trace and track crypto assets.

• Analyze interactions with smart contracts to uncover potential fraud, errors, and vulnerabilities.

• Perform static and dynamic analysis of smart contract source code.

• Develop and utilize tools and techniques for monitoring blockchain activities.

• Generate comprehensive reports on findings and provide expert opinions.

Benefits:

• Supportive engineering environment

• Regular informal instructions from senior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, PhD in quantitative field, such as Physics, Mathematics, Statistics, Engineering

• Equivalent practical experience

Experience Requirements:

• Good knowledge of statistics, data analysis, and modelling methods

• Problem solving skills with respect to approaching a new dataset/customer request and formulating a problem

• Experience with some form of Deep Learning, for example Image recognition, or NLP, and a solid understanding of the foundations

• Experience with programming in Python

• Experience with Reinforcement Learning

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Working directly with our customers to support the deployment of our products

• Internally strengthening the products themselves

• Initial data exploration for customers

• Modelling and problem formation for customers

• Reinforcement Learning training for customers

Education Requirements:

• Bachelor's degree in a quantitative field (e.g., Computer Science, Math, Physics) or equivalent, extraordinary practical experience

Experience Requirements:

• Demonstrated history of exceptional talent and achievement in a rigorous field

• Proven ability to build complex systems from scratch and a strong portfolio of projects that showcase this skill

• Expert-level proficiency in Python and deep familiarity with at least one major ML framework (e.g., PyTorch, TensorFlow, JAX)

• Strong software engineering fundamentals, including data structures, algorithms, and writing clean, maintainable code

• A "ship it" mentality and a deep-seated drive to build things that work

Other Requirements:

• Contributions to open-source projects, research tools, or datasets

• Experience building and deploying full-stack AI applications

• Familiarity with modern cloud infrastructure (GCP, AWS, etc.) and MLOps tools (Docker, Kubernetes)

• Experience with large-scale data processing and model optimization

• A public portfolio of projects (e.g., on GitHub) that demonstrates your building skills

Responsibilities:

• Design, build, and ship end-to-end AI prototypes and features with a high sense of urgency

• Own the entire development lifecycle: from understanding a vague problem statement to producing clean, scalable, production-level code

• Rapidly survey, select, and implement the most effective state-of-the-art models and techniques to solve immediate business problems

• Work independently to architect and build robust systems, making pragmatic trade-offs between perfection and speed

• Quickly ramp up on new domains, frameworks, and technologies as needed to get the job done

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• developing datasets, benchmarks, and models in pursuit of AI doctors and curing cancer

Benefits:

• Competitive Compensation

• Equity

• Remote-First Culture

• Shape the Future of Healthcare

• Early-Stage Impact

Experience Requirements:

• Proven experience designing agentic processes and LLM evaluation/benchmarking frameworks.

• Strong Python and ML background (PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex).

• Demonstrated ability to design rigorous experiments and translate findings into production.

• Track record of published research or deep applied work in LLMs and agent evaluation.

• Strong communication and technical writing skills to articulate complex findings clearly.

Other Requirements:

• Prior work in healthcare/clinical NLP with awareness of medical data standards.

• Experience running IRB-aligned or clinical-grade studies.

• Exposure to noisy/limited medical data and designing strategies to overcome constraints.

Responsibilities:

• Design and run experiments to measure accuracy, robustness, and hallucination rates in LLM agents.

• Build automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks.

• Partner with Research Ops/IRB to design efficacy studies and align with regulatory requirements.

• Translate research into production-ready evaluation systems, collaborating with engineering to land features 0→1.

• Develop error taxonomies, ablations, and guardrails to ensure safe and reliable agent behaviors.

Benefits:

• Innovative culture

• Growth paths

• Learning & development (annual discretionary stipend)

• Social travel (annual discretionary stipend)

• Annual company offsite

Experience Requirements:

• 3+ years industry experience as a Machine Learning Engineer, with a key emphasis on constructing data pipelines, as well as developing and implementing machine learning models.

Other Requirements:

• Demonstrating the capacity to autonomously evaluate novel concepts or enhance current machine learning projects, with the potential outcome of contributing to published works.

• Extensive background in conducting exploratory research to enhance the excellence of gathered data, particularly within the realm of audio and text-to-speech domains.

Responsibilities:

• Creating and upholding a reliable and expandable data management system specialized for text-to-speech projects. This includes establishing guidelines for versioning and ensuring data quality.

• Establishing a streamlined process for autonomously training, assessing, and launching text-to-speech models. This encompasses implementing procedures for dynamic learning, as well as routines for fine-tuning and refreshing validation data.

• Investigating cutting-edge approaches and strategies in machine learning, deep learning, and algorithms pertaining to text-to-speech technology.

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)

• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

Experience Requirements:

• 4+ years of experience in AI/ML development.

• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

• Hands-on experience with LLMs, GenAI, and RAG architectures.

• Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).

• Knowledge of ML algorithms, deep learning architectures, and NLP techniques.

Other Requirements:

• Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.

• Experience with LangChain or LlamaIndex for LLM applications is a plus.

• Strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities:

• Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.

• Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.

• Develop and optimize ML models, leveraging classical and deep learning techniques.

• Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.

• Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.

Benefits:

• Mentorship from our legal expert

• Top market compensation package including company shares

• Personal development budget

• Meal allowance

• Free beers

Experience Requirements:

• Deep hands-on expertise with LLMs, AI agents, RAG, embeddings, and orchestration frameworks (LangChain, LangGraph, CrewAI, MCP, etc.)

• Strong track record in AI productization (building features beyond prototypes)

• Experience with enterprise automation domains (finance, GBS, ERP systems like SAP/Oracle/Workday, etc.) is a plus

• Proven ability to work cross-functionally with Product, Engineering, and Delivery teams

• Leadership qualities: able to coach, mentor, and inspire a growing AI team

Other Requirements:

• Pragmatic builder: combines research curiosity with execution discipline

• Be at the forefront of AI-native enterprise automation

• Work with leading global clients and partners

• Shape the future of our AI organization and products

• Join a collaborative, ambitious, and international team

Responsibilities:

• Lead applied AI research in LLMs, agent frameworks, RAG, embeddings, and multimodal document understanding.

• Drive productization: transform prototypes into scalable, reliable SaaS and on-prem solutions.

• Design and refine AI pipelines for automation (prompting, orchestration, validation, continuous learning).

• Collaborate with Product, PS, and CS teams to ensure customer requirements translate into robust AI features.

• Mentor and grow AI engineers, delivery specialists, and researchers; help define team structure.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid CV theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in 3D vision, image processing, video understanding preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch), good programming skills (Python / C++).

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating visual perception with natural language, speech and other perception modules.

• Integrate machine vision with natural language processing, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Develop and optimize 3D reconstruction algorithms based on monocular, binocular, multi-camera.

• Optimize effects of basic computer vision modules, including but not limited to semantic segmentation, object detection/tracking, behavior recognition, pose estimation.

Education Requirements:

• PhD degree in Artificial Intelligence, Robotics, Computer Science, Automation, Applied Mathematics or related fields.

Experience Requirements:

• Published papers in top international AI journals or academic conferences.

• Good academic background and research ability, able to independently undertake research tasks.

Other Requirements:

• Excellent mathematical foundation.

• Aspiring to engage in cutting-edge AI research, passionate about scientific research, full of challenge spirit.

• Excellent Chinese and English oral and written communication skills, good teamwork spirit.

Responsibilities:

• Simulation and Interaction Lab undertakes numerous research tasks centered on autonomous intelligence, focusing on cutting-edge exploration in embodied AI, cognitive computing, reinforcement learning, mixed-intelligence simulation, intelligent graphics generation.

• Responsible for conducting cutting-edge theoretical and technological research in AI, producing impactful original research results.

• Lead or participate in specific research projects, producing impactful scientific research results.

• Work closely with team members to promote the implementation of basic algorithm models.