Education Requirements:

• PhD or equivalent experience in NLP, Deep Learning, or a related field

Experience Requirements:

• Experience with popular NLP toolkits and platforms

Other Requirements:

• Strong understanding of current challenges in language models and a passion for innovation

Responsibilities:

• Lead research in Language Model (LLM) development, focusing on zero-shot performance

• Collaborate with other R&D teams to enhance foundational model capabilities

• Stay updated with the latest advancements in NLP and LLM

• Drive efforts for publishing the research in top-tier conferences and journals

Benefits:

• A competitive compensation package including opportunities for employee options awards

• Opportunities to enjoy meaningful and disruptive works on game-changing products

• A flexible, supportive and productive working environment

• Passionate colleagues and friends

• A strong commitment to your personal and professional growth

Experience Requirements:

• 2+ years as a Data Scientist or ML Engineer in a strong data-driven SaaS environment/product

• Real-world experience in working with customers to develop and deploy Data Science and ML solutions

Other Requirements:

• Solid analytical thinking and problem-solving skills

• Hands-on experience and demonstrable ability to code fluently in Python

• Strong working knowledge of efficient data structures, computational complexity and algorithms

• Solid theoretical understanding in probability, statistics, supervised and unsupervised learning, time series

• Strong experience and demonstrable skills in Data Science stack (scikit-learn, pandas, numpy, scipy)

Responsibilities:

• Applying Data Science and Machine Learning to solve real-world business problems

• Developing new data-science / ML functions across products

• Taking charge of existing code base for continuous maintenance, bug fixing, and improvement

• Working with the Software/DevOps Engineering team to brainstorm ideas and develop new features

• Participate the design process for new features as a representative from the Data Science team

Education Requirements:

• Bachelor’s degree in Computer Science, a related field or equivalent experience

Experience Requirements:

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)

Responsibilities:

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love

• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners

• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Education Requirements:

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience Requirements:

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment.

Responsibilities:

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy.

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model

Education Requirements:

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience.

Responsibilities:

• Lead the design, development, and implementation of machine learning models, AI algorithms, and Large Language Models (LLMs) for various business applications.

• Collaborate with cross-functional teams (product, engineering, business) to understand the problem domain and define model objectives.

• Analyze large datasets to identify patterns, trends, and insights, and use these findings to develop predictive models and actionable business solutions.

• Build, test, and refine machine learning models using state-of-the-art techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP).

• Develop and optimize LLMs (e.g., GPT, BERT, etc.) to improve language understanding, text generation, and other NLP applications.

Education Requirements:

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

Experience Requirements:

• 5+ years of hands-on experience in machine learning, with a focus on anomaly detection.

Responsibilities:

• Develop and implement machine learning models focused on anomaly detection in industrial IoT data.

• Design algorithms for predictive maintenance and condition monitoring.

• Work closely with data engineers to create robust data pipelines for real-time analytics.

• Analyze large datasets, extract insights, and provide actionable recommendations.

• Optimize models to improve detection accuracy and reduce false positives.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

Experience Requirements:

• least 5-7 years of experience as a Senior Data Scientist

Education Requirements:

• Minimum Doctoral degree or in the last year of the Doctoral degree in Mathematics/Statistics, Computer Science, Physics or Electrical Engineering.

Other Requirements:

• Demonstrable capacity to produce high quality peer reviewed research.

• Familiar with Linux infrastructure and python (C++ familiarity would be beneficial).

• Preferably some knowledge of financial market mechanics.

• Approachable attitude to joint work and peer review and ability to present complex ideas in a concise manner.

• No previous experience is required.

• mathematics hobbyists

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 5+ years of experience doing quantitative analysis within a digital product environment.

Responsibilities:

• Enabling the rapid growth of our business; understanding the ecosystem of our business and identifying the highest impact areas for product-led growth.

• Defining key virality metrics and tracking KPIs to analyse what really matters. You’ll closely monitor our K-factor and find opportunities to improve it.

• Leading the measurement of ROI, incrementality, and cannibalisation of new viral initiatives.

• Influencing the roadmap of product teams through presentation of data-based recommendations.

• Applying graph theory and building network models to uncover new viral opportunities.

Benefits:

• Remote first

• Comprehensive benefits

• Learning and development

• Paid time off

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Education Requirements:

• Currently pursuing a degree in Sports Management, Statistics, Mathematics, Data Science, Economics, or a related field. Recent graduates may also be considered

Experience Requirements:

• Strong proficiency in data analysis tools such as Excel, R, Python, and SQL. Familiarity with sports analytics platforms is a plus

• Basic understanding of statistical techniques (regression analysis, correlation, hypothesis testing, etc.)

• Passion for sports and understanding of various sports

• Excellent communication skills, both written and verbal, with the ability to convey complex data findings in an easy-to-understand format

• Strong attention to detail and problem-solving skills

Responsibilities:

• Assist in gathering and organizing data from various sources, including game statistics, player performance data, and historical records

• Maintain and update databases to ensure accuracy and reliability of information

• Help with cleaning and preprocessing raw data to make it suitable for analysis

• Analyze sports data using statistical methods and software (e.g., Excel, R, Python, SQL, etc.) to generate insights about player performance, team dynamics, and other relevant metrics

• Support the creation of visualizations (charts, graphs, dashboards) to present data findings in a clear and understandable way

Education Requirements:

• Doctoral

Benefits:

• Generously matched contributions

• Vitality Health (London employees)

• Life insurance (London employees)

• 25 days holiday plus bank holidays

• Learning & development fund

Other Requirements:

• Bilingual - Hindi/English

Benefits:

• Competitive salary and equity

• Medical, dental, vision benefits

• Learning budget per year

• Unlimited PTO policy with minimum time off requirements

• Flexible working hours on many teams

Education Requirements:

• PhD

• Master's degree and 3+ years of experience

Experience Requirements:

• Significant hands-on experience in AI/ML, specifically with large datasets

• Strong coding skills with experience in cloud computing

• Good communication skills

Other Requirements:

• Domain expertise in climate is a plus

• Strong communication skills

Responsibilities:

• Building applications of GenAI approaches to solve forecasting and interpretation challenges in climate science

• Improving food and climate security outcomes

• Working cross-functionally with climate scientists, ML engineers, software engineers, and business teams

Experience Requirements:

• detailed knowledge of deep learning for computer vision

• knowledge of deep learning infrastructure and efficient computing

Responsibilities:

• build the future of creative tooling

Benefits:

• Employee Stock Options

• Extensive Health Insurance Coverage

• Team Outings

• Delicious Meals and Snacks at the Office

• Generous Leave and Paid Time Off Policies

Education Requirements:

• Graduate degree in computer science or related field

Experience Requirements:

• Strong knowledge of theoretical and practical aspects of machine learning, including probability, statistics, learning theory, algorithms, and software architecture.

• Proven ability to deliver machine learning-driven solutions, particularly in production environments.

• Experience in Python programming for machine learning projects, with a solid understanding of CI/CD pipelines and deploying models using AWS or other cloud platforms.

• Good understanding of applied machine learning concepts, with experience in deploying ML models as microservices; previous experience with Conversational AI or NLP projects is a plus

Other Requirements:

• 2+ years of industrial experience

• Atleast 1 year of experience in Data Science or Machine learning (NLP/Speech would be preferable)

Responsibilities:

• Building ML models on our core ML platform; and monitor, diagnose and maintain active deployments.

• Create and own technical design for ML models associated with the voice-bot.

• Own the ML metrics related to bots - Intent, SCR, resolution, etc. and responsible for continuous improvement of ML performance

• Define and drive quality, performance, robustness, and reliability of our deliveries by collaborating with delivery stakeholders.

• Drive and organize research, discussion and reviews towards continuous improvements of our models and capabilities

Benefits:

• Employee Stock Options

• Extensive Health Insurance Coverage

• Team Outings

• Delicious Meals and Snacks at the Office

• Generous Leave and Paid Time Off Policies

Experience Requirements:

• Strong knowledge of SQL

• Working knowledge of scripting (one of Python, R)

• Experience working with at least 1 BI Tool (Superset, Tableau, Metabase, Google Analytics, Clevertap, MixPanel etc.)

• Strong communication skills - ability to effectively communicate the insights developed to the various stakeholders in the organization

• Able to work with agile product development teams and able to identify new ways to help your team be effective

Other Requirements:

• Brownie points to folks who’ve built or worked on analyzing conversational AI products

• Experience working on Machine Learning and NLP systems

Responsibilities:

• Support the product and delivery teams to drive improved product quality and customer satisfaction by leveraging data to study business and UX impact for features and product improvements

• Deep dive into data and identify right problem statements and right segments to target and take experimentation driven product delivery approaches.

• Work closely with Tech, Product, CS and Delivery to deliver standard and custom dashboards to enable understanding of bot health and performance with minimal guidance

• Capture insights from customer feedback, experiments, research, and data analysis to identify trends and pinpoint the drivers behind them; translate these insights into tactical solutions to improve our voicebot deliveries

• Becoming the domain champion of the product/function with a clear data-driven understanding of how callers interact with our voicebot