Benefits:

• Career paths and knowledge-sharing

• Training materials and certifications

• 20 fully paid days off

• Integration budget

• Work anniversaries and birthdays celebration

Education Requirements:

• Master's degree in Computer Science or related field

Experience Requirements:

• 6+ years in designing scalable AI solutions

• Experience leading ML projects

• Proficiency in Python and ML libraries

• Expertise in cloud deployment (AWS/Azure)

• Knowledge of LLMs and semantic search

Other Requirements:

• High proficiency in English (C1 level)

Responsibilities:

• Lead development of ML solutions

• Design AI solution architectures

• Research and select best tools/technologies

• Lead and mentor cross-functional teams

• Translate business problems to DS problems

Benefits:

• International projects with global enterprises

• Flexible work arrangements

• Career paths

• 20 fully paid days off

• Integration budget

Education Requirements:

• Bachelor's or Master's degree in Data Science or related

Experience Requirements:

• Commercial experience designing AI solutions

• Proficiency in ML algorithms

• Strong programming skills in Python

• Expertise in cloud (AWS or Azure)

• Knowledge in applying LLMs

Other Requirements:

• High proficiency in English (C1 level)

Responsibilities:

• Lead development and implementation of ML

• Lead the design of AI solution architectures

• Research and select best technologies

• Architect data pipelines and workflows

• Present findings clearly to stakeholders

Education Requirements:

• PhD or equivalent experience in speech technology, machine learning, or a related field

Experience Requirements:

• Proven track record of publishing in leading speech conferences such as Interspeech, ICASSP, etc.

• Hands-on experience with popular speech toolkits and frameworks

Other Requirements:

• Strong programming and algorithmic skills

Responsibilities:

• Lead and drive innovative research in the field of speech recognition, synthesis, and related technologies

• Collaborate closely with the R&D team to integrate research findings into Camb.ai's products

• Keep abreast of latest advancements in speech technology and continuously push for innovations in the field

• Publish research findings in leading conferences, journals, and workshops

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:

• 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:

• 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

Education Requirements:

• A PhD degree holder in Computer Science or related disciplines.

Other Requirements:

• Excellent verbal and written communication skills in English.

• Extensive knowledge in machine learning and AI algorithms, especially in natural language processing (NLP), speech recognition, and/or related areas is preferred.

• Strong mathematical/analytical foundation, problem solving skills.

• Experience in software developments for machine learning/AI algorithms are highly preferred.

Responsibilities:

• Perform research directed toward investigation, evaluation, and application of known machine learning theories and principles, especially deep learning techniques.

• Plans and conducts, or direct engineering personnel performing complex engineering analyses and experiments to test, prove, or modify theoretical propositions on basis or research findings and experiences of others researching in related technological areas.

• Evaluate findings to develop new concepts, products, or processes, or to develop applications of findings to new uses.

• Write technical papers to be published in prestigious conferences and journals.

• Prepare technical reports for use by engineering or management personnel for long- and short-term planning.

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

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

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.

Education Requirements:

• A PhD in Industrial-Organizational Psychology, Psychometrics, or a related field is required.

Experience Requirements:

• A proven track record in psychological assessment, AI governance, and the application of IO psychology principles to data science and machine learning.

Other Requirements:

• Professional Memberships: Chartered status or higher with the British Psychological Society (BPS) or the European Federation of Psychologists Associations (EFPA) is essential.

• Thought Leadership: Experience publishing in peer-reviewed journals and contributing to industry discourse on ethical AI and innovative assessment methods.

• Collaborative Leadership: A willingness to work within a small, high-performing team, fostering collaboration to achieve global success.

Responsibilities:

• Lead the organisational psychology function

• Build the brand of Sapia.ai in the market with a focus on the UK market. This includes being a thought leader in the I/O community and in the HR tech community on responsible use of AI, ethical AI, advancements in NLP to assess role fit, and appropriate measurement of ML assessments

• Support Sales and Customer Success Teams: Act as a trusted advisor to ensure we deliver on client and market expectations for scientific validity and compliance, particularly in regulated markets. Act as a thought partner and trusted consultant for customers on the use of AI in recruitment, helping them navigate ethical considerations, bias mitigation, and the implementation of AI-driven assessments for fair and effective hiring.

• Be the product owner for assessment governance, including ethical use of AI, adverse impact testing and validity analysis, working with the Data Science (DS) team

• Partner with Product and Data Science for Assessment Innovation Collaborate with Product and Data Science teams to implement best practices in organizational psychology, enhancing the validity and reliability of Sapia.ai’s AI interview platform.Integrate research findings on hiring outcomes, adverse impact, and mobility into the product strategy to refine predictive assessment tools.Conduct validation studies on assessment effectiveness and provide actionable recommendations for continuous improvement.Serve as the subject matter expert (SME) for Sapia Labs as they advance to Chat 2.0.Collaborate with Sapia Labs, product, and engineering teams to drive AI-driven innovation in assessment design, ensuring alignment with emerging research, ethical guidelines, and industry best practices.Engage regularly in market forums that will build trust in our brand of science. These could be SIOP, regulatory settings, and customer forums.

Education Requirements:

• B.S./M.S. in Biochemistry, Biophysics, or a related field

Experience Requirements:

• minimum 1 year of academic or industry lab experience.

Responsibilities:

• Design and execute routine biophysical assays from beginning to end using methods such as SPR, DSF, and other biophysical techniques to characterize small molecule-protein interactions.

• Routinely and independently analyze & QC experimental data.

• Program, validate, and operate liquid-handling automation (Biomek Liquid handler, Multidrop Combi, Integra Viaflo & Voyager) for 384-well plate-based assays and use instrumentation such as plate readers for reproducible, publication-quality data generation.

• Communicate results efficiently & precisely in written format by maintaining electronic lab notebook.

• Presents work to supervisor, lab and/or project meeting.

Benefits:

• Competitive Pay

• Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees)

• Stock Option Eligibility

• 401(k) Plan

• Open PTO Policy Paid Company Holidays Free lunch and snacks at our offices

Education Requirements:

• A BSc, MSc, or PhD degree in immunology, molecular and cell biology, biochemistry or a related field

Experience Requirements:

• 8+, 5+ or 2+ years of relevant industry experience, respectively.

Responsibilities:

• Autonomously plan, design, and execute biochemical and cell-based experiments to support our I&I pipeline.

• Maintain a hands-on approach while being an open-minded, flexible team player.

• Analyze, interpret and integrate complex datasets across multiple assay types.

• Document data meticulously using ELN and state-of-the-art analyses.

• Stay at the forefront of latest research through literature review and critical evaluation of available data sources.