Education Requirements:

• Master's or PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Familiar with Linux system, solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Familiar with and master principles of various optimization algorithms, machine learning, multi-agent reinforcement learning, deep learning, heterogeneous and asynchronous computing.

• Able to use mainstream frameworks like TF, PyTorch for model building and algorithm tuning.

• (Plus) Published papers in AI journals/conferences.

Other Requirements:

• Strong understanding and knowledge of AI.

• Strong hands-on and fast learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

• Good English skills, able to read relevant literature.

• (Plus) Knowledge in complex networks, Bayesian statistics, stochastic processes, information theory, game theory, knowledge graphs.

Responsibilities:

• Participate in cutting-edge research in multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Collaborate with team members to complete research projects, read papers, implement algorithms, conduct large-scale experiments.

• Participate in or lead the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Published at least 2 papers as first/corresponding author in top international AI conferences or SCI journals.

• Achieved significant results in at least one area among multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Social intelligence related work preferred.

• (Plus) Knowledge in optimization theory, complex networks, Bayesian statistics, stochastic processes, information theory, knowledge graphs.

Other Requirements:

• Good academic background and excellent independent research and innovation ability, self-driven, capable of leading research projects and guiding interns.

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Conduct cutting-edge research in multi-agent systems modeling, agent learning and decision-making, communication and collaboration, game theory, swarm intelligence, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

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.

Education Requirements:

• Master's degree or above.

Experience Requirements:

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

• Research background and work experience in natural language understanding, information retrieval preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch / MXNet), understanding of popular language models like Seq2Seq, Transformer.

• Good programming skills (Python / C++).

• (Plus) Mastered ASR, TTS speech technologies or relevant project experience.

Responsibilities:

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

• Integrate natural language processing with machine vision, 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.

• Establish explainable Q&A inference models, including neuro-symbolic reasoning, graphic reasoning.

• Optimize effects of basic natural language processing modules, including but not limited to word segmentation, entity recognition, syntactic analysis, intent classification.

Education Requirements:

• PhD degree.

Experience Requirements:

• Published papers in top international AI conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, EMNLP).

Other Requirements:

• Strong self-drive, aspiring to engage in cutting-edge AI research, capable of leading a project and guiding interns.

• Excellent English oral and written communication skills.

Responsibilities:

• Conduct cutting-edge research in (1) Vision-Language Model (VLM), (2) Vision-Language-Action (VLA), (3) AGI Agents, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's or PhD degree in Computer Science or related fields.

Experience Requirements:

• Solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Published papers in AI journals/conferences preferred.

Other Requirements:

• Strong understanding and knowledge of Artificial Intelligence.

Responsibilities:

• Mainly responsible for collaborating with team members on academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

• Lead or participate in the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

• Good academic background and excellent independent research and innovation ability, published impactful papers in top international conferences and journals.

• Achieved significant results in at least one area among computer vision, natural language processing, robotics, cognitive science, machine learning, multi-agents, meta-intelligence and embodied intelligence.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Mainly responsible for academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

Education Requirements:

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing or related fields.

Experience Requirements:

• In-depth research experience in human-machine value alignment, long-text modeling, efficient language models, explainable language models, language model inference, RAG knowledge integration, capable of independently conducting research projects.

• Knowledge of Natural Language Processing and Machine Learning fundamentals, deep understanding of Machine Learning and Deep Learning algorithms, especially their application in Natural Language Processing.

• Published high-quality academic papers in top international conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) or journals.

• Bonus: unique understanding, models, or systematic work in related Natural Language Processing subfields.

• Bonus: led large Natural Language Processing related projects, including large language model training and data cleaning, complex human-computer interaction systems.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

• Strong curiosity and innovative spirit, able to continuously explore new research directions and technological applications.

Responsibilities:

• Conduct cutting-edge research and technology development in natural language frontier areas such as value alignment, efficient language modeling, explainable large models, long-text understanding and reasoning, lead, collaborate and execute to advance frontier research in Natural Language Processing.

• Write high-quality academic papers, actively participate in submissions and publications to top international conferences and journals, enhance the lab's academic influence.

• Collaborate closely with product, engineering, and data teams to apply research results to actual products, promoting technology implementation.

• Participate in academic conferences, seminars, and internal technical sharing sessions, continuously track industry trends, and promote the team's technical level.

Education Requirements:

• Master's degree or above in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

• At least some accumulation in one NLP area.

• Basic Natural Language Processing knowledge and Machine Learning fundamentals, understanding of common language models like transformer, seq2seq, proficient in PyTorch, Transformers and other deep learning frameworks.

• Proficient in vllm, peft, trl and other language model frameworks preferred.

• Practical experience in pre-trained language models, large language model fine-tuning, multimodal language model training preferred.

• Experience in AI related app development, participated in AI/ML related GitHub projects with 100+ stars preferred. Published papers in AI journals/conferences like ACL, EMNLP, NAACL, CoLM, ICLR, ICML, NeurIPS preferred.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Track latest Natural Language Processing research progress, conduct algorithm reproduction, migration and debugging for typical tasks such as multimodal modeling, human-computer interaction, natural language inference.

• Collaborate with team members on academic research and frontier exploration in Natural Language Processing.

• Lead or participate in the design and development of platforms or systems, promote the implementation of Natural Language Processing basic model algorithms.

Experience Requirements:

• Proven experience in professional photography and/or videography direction

Other Requirements:

• Photography/Videography Direction

• Photo Editing Software

• Visual composition

• Visual Storytelling

• Color Correction

• Expertise with photo editing software such as Adobe Photoshop, Lightroom, or equivalent

• Strong grasp of visual composition, lighting, and image aesthetics

• Keen eye for visual storytelling and translating concepts into impactful imagery

• Advanced skills in color correction and post-production workflows

• Excellent written and verbal communication skills

• Attention to detail in documentation

• Ability to work independently in a remote, collaborative environment

• Background in training or guiding others in photography, videography, or creative technologies

• Portfolio demonstrating diverse creative and technical visual work

Responsibilities:

• Collaborate with AI engineers to define visual data requirements and establish high-quality training datasets.

• Direct and capture compelling photography and videography assets aligned with diverse project needs.

• Analyze, annotate, and review visual content, providing expert feedback for AI model improvement.

• Apply advanced photo editing and color correction techniques to optimize training materials.

• Demonstrate strong visual storytelling to ensure AI outputs mirror real-world creative standards.

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years experience in data science, with specific experience in growth and paid / performance marketing

• Strong quantitative foundation and experience in statistical modeling

• Expertise in experimental design, with demonstrated experience running both product and marketing experiments

• Worked closely on defining and measuring growth, onboarding, and retention metrics

• Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation

Other Requirements:

• Applicants must be eligible to work in the US.

• Suno employees are expected to work 5 days/week in one of our offices.

Responsibilities:

• Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance

• Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention

• Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend

• Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value

• Partner with data engineering to ensure robust data collection and transformation for growth analytics

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years experience in data science or machine learning roles with direct experience building recommendation systems - ideally in consumer products, music/audio, or content platforms

• Strong technical skills in Python, SQL, and modern ML techniques for recommendations

• Experience designing and running rigorous experiments, evaluating tradeoffs, deriving clear insights, and making actionable recommendations

• Excellent communication and experience working across multiple functions to influence decisions

• A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning

Other Requirements:

• Applicants must be eligible to work in the US.

• This is an onsite role in Cambridge, NYC, Venice Beach, or SF

Responsibilities:

• Define content strategy

• Get hands-on: Dive deep into user behavior patterns and content characteristics, using these insights to prototype and improve upon recommendation algorithms and features

• Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements and measure impact on user engagement, retention, and music creation

• Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality across multiple dimensions - relevance, diversity, novelty, and user satisfaction

• Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms and with product to shape user experience

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

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

Experience Requirements:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)

• Proven expertise in deploying solutions in cloud environments (AWS or Azure)

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

Other Requirements:

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

• Familiarity with MLOps practices, Kubernetes and Docker

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Understand clients’ needs and translate business problems into data science problems

• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security

Education Requirements:

• Graduate degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science

Experience Requirements:

• 7+ years of experience as a Data Scientist or Machine Learning Solutions Architect, preferably with a focus on AI/ML security

• 5+ years of proficiency in Python for data analysis, model training, evaluation, deployment, and optimization

• 1+ year of experience with technologies related to large language models (LLM architectures, responsible GenAI, model evaluation, and customization techniques)

Other Requirements:

• Deep understanding of AI/ML models, including their strengths, limitations, risks and vulnerabilities

• Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, denial of service attacks, etc.

• Excellent written and verbal communication skills, paired w. strong analytical and problem-solving skills

• Strong programming skills in generic programming languages such as Python or Golang and machine learning frameworks such as TensorFlow or PyTorch

• Ability to quickly learn new technologies and concepts and to understand a wide variety of technical challenges to be solved

• Hands-on experience with AI security best practices, including vulnerability assessments, red teaming, and cybersecurity controls

• Experience with open source frameworks for building applications powered by large language models like LangChain and LlamaIndex

• Knowledge of prompt engineering, state-of-the art model architectures as well as necessary understanding of underlying maths/statistics

• Familiarity with AWS, Azure & Google services and the cloud computing landscape

• Knowledge of model deployment technologies such as TorchServe, ONNX, Triton, vLLM and orchestration using docker and Kubernetes is a plus

• Familiarity with big data technologies such as Hadoop, Spark, and MongoDB

• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment

• Track record of thought leadership and innovation around AI/ML/GenAI, ideally with experience in patenting inventions

• Experience developing proof-of-concept exploits for new or theoretical attacks

• Experience scaling products at hyper-growth startups

Responsibilities:

• Help lead the data science team fostering innovation and excellence in AI security engineering translating business needs into short, medium and long-term roadmaps

• Develop technical assets and IP across automated pentesting and real-time monitoring of both discriminative and generative AI technologies

• Engage with product owners to influence product direction and facilitate coverage across security frameworks and standards (e.g., NIST AI RMF, OWASP TOP 10s, MITRE ATLAS, CLOUD SECURITY ALLIANCE, etc.)

• Track and analyze emerging threats to AI systems, focusing on AI/ML/GenAI models, applications and environments

• Develop and implement detection and mitigation strategies for identified threats, including prototyping new approaches

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Demonstrated expertise applying deep learning to omics data at scale

• Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

• Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

• Solid grasp of causal inference, experimental design, and statistics

• Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

• Identify, prioritize, and acquire multi-omics datasets

• Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

• Design schemes for pretraining and finetuning Enchant on multi-omics data

• Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

• Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

Benefits:

• competitive compensation package

• pension contributions

• flexible holiday allowances

Education Requirements:

• PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Demonstrated expertise applying deep learning to omics data at scale

• Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

• Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

• Solid grasp of causal inference, experimental design, and statistics

• Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

• Identify, prioritize, and acquire multi-omics datasets

• Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

• Design schemes for pretraining and finetuning Enchant on multi-omics data

• Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

• Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

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