Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex concepts effectively to non-technical stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, GPT).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Hands on experience in deployment

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

Benefits:

• Opportunity for professional development in the area of GenAI

• Private Medical insurance

• Multisport card

• Google certification paths

Experience Requirements:

• A minimum of 3 years of experience in Data Science, with a keen interest or direct experience in Generative AI

• A minimum of 2 years of experience in NLP tasks

• Proficiency in PyTorch or another deep learning library

• Expert programming skills in Python

• Familiarity with the Numpy/Pandas libraries

Benefits:

• Base salary + equity + performance bonus

• Industry-leading healthcare covering medical, dental, vision, and life paid by the company

• Health Savings and Flexible Spending accounts

• 401K

• Unlimited PTO with an employee-focused work approach Flexible work schedule and a remote-friendly environment Parental leave Participation in profit sharing Employee Referral Bonus Program Company outings, retreats, and events (when permissible)

Education Requirements:

• Academic background in statistics, comp sci, math, engineering

Experience Requirements:

• 6+ years professional Data Science experience

Other Requirements:

• startup background is a huge benefit with a strong capacity to work across teams in product, marketing, sales, and engineering

• Consumer product and subscription modeling expertise

• Portfolio or sharable work samples (dashboards you built, measurable/quantifiable results you helped produce, methodology, etc.)

• Deep ML/AI experience (including machine learning modeling and ensemble methodology)

• Python expertise (NumPy, SciPy), SQL, MongoDB, C++

• Understanding of digital signal processing techniques (filtering, spectral/FFT analysis, convolution, etc.)

• Experience with machine learning, especially as it applies to music analysis and/or generation

• Experience with Django, Heroku, AWS, S3

• Familiarity with python audio processing libraries such as Librosa

• Passion for or experience in music – ML, production, and creation

• Accepting only US-based applicants with 6+ years of hands-on data science/data leadership experience.

Responsibilities:

• Collect, analyze, and present processed and unprocessed data pertaining to music creation tech to make the business more powerful and increase enterprise opportunities.

• Design accurate and scalable prediction algorithms in pertinence to business objectives

• Collaborate with the engineering team to bring analytical prototypes to production, make product adjustments, and geek out on product opportunities

• Based on the insights you gather, make clear recommendations to improve and work with other department leads to execute

• Help design data team hiring roadmaps Produce regular analytics reports for internal and external stakeholder (board, investor, etc.) purposes.

Benefits:

• Generous 401(k) plan with matching to secure and plan for your financial future

• Comprehensive premium health, dental, and vision insurance for you and your dependents

• Early exercise provisions of equity options to participate in the company’s growth

• Unlimited PTO to recharge and rejuvenate

• Healthy lunch and dinner options catered daily at our offices

Education Requirements:

• Bachelor’s degree or International Equivalent in Computer Science, Mathematics, Physics, Information Science or related field; advanced degrees a plus

Experience Requirements:

• Experience with randomized algorithms, information theory, machine learning (both modeling and implementation), optimization.

• Mathematical maturity in multivariate calculus, linear algebra, probability, data structures, and algorithms (at the level these tools are used in current research).

Other Requirements:

• Deep familiarity with one high level programming language, such as Python (and relevant libraries, e.g. NumPy, Scipy, PyTorch) and one low-level language such as C++ or Golang.

• Strong programming skills

• Experience with technical writing and documentation, including academic publications

Experience Requirements:

• 2+ years experience with real life classic Machine Learning experimentation

• Production grade modeling experience

Responsibilities:

• Supporting our customers with their data science experimentations

• Delivering 100 level introduction to Data Scince training

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401(k) plan

• Unlimited PTO

• Fun global offsites!

Experience Requirements:

• Publications at leading AI conferences, journals or workshops, such as NeurIPS, ICML, EMNLP, ACL, AAAI.

• Experience conducting empirical NLP research in an academic or industry research lab.

• Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP.

• Experience training language models in applied or research settings.

• Experience working and communicating cross functionally in a team environment.

Other Requirements:

• Have good character, integrity and respect for others.

Responsibilities:

• Develop state-of-the-art systems for AI evaluation.

• Conduct novel research on redteaming language models, automated evaluation and alignment.

• Scope out and lead research projects, including experiment design, timelines for research deliverables, understanding results.

• Develop processes for high quality research, including dataset collection, model training, benchmarking and inference.

• Experiment with latest technologies and proactively suggest experiments and improvements to research and ML systems.

Experience Requirements:

• You have a background in Computer Vision / Computer Science and 3+ years of industry experience. (PhD preferred)

• You have worked with Generative image or video Models

Responsibilities:

• Training large models across multiple nodes and analysing results

• Implementation of state-of-the-art video diffusion techniques to improve our methods.

• Performing research and literature reviews in order to propose new ideas based on latest trends in the community.

• Collaborative development and planning within the team.

Experience Requirements:

• Senior

Experience Requirements:

• Mid

• Senior

Experience Requirements:

• Junior

• Middle

Experience Requirements:

• Team Lead

• Senior

• Middle

Experience Requirements:

• Middle