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Lifesight

Marketing Science Analyst

Unify marketing performance views with AI-powered attribution, incrementality testing, and causal MMM to scale profitably across omnichannel campaigns.

scienceonsiteBengaluru, INfull-time

Benefits:

  • Competitive pay

  • health insurance

  • daily breakfast

  • weekday lunches

  • Friday team lunch

Education Requirements:

  • Bachelor’s degree or higher in Business, Analytics, Statistics, or Math.

Experience Requirements:

  • 2+ years of experience in data science or marketing science

Other Requirements:

  • Highly analytical mindset with strong problem-solving skills

  • Track record working with mid-market and enterprise brands

  • Ability to communicate complex data science concepts simply

  • Proficiency in leveraging social media for thought leadership

Responsibilities:

  • Solve measurement needs using Marketing Mix Modeling and attribution

  • Articulate value propositions of the UMM platform to brands

  • Study customer business goals to offer expert recommendations

  • Manage customer accounts and communications

  • Contribute to product roadmap and feature development

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Turnitin

Senior Machine Learning Scientist (USA Remote)

Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.

scienceremoteAtlanta, US
$112,125/year - $186,875/year
full-time

Benefits:

  • Health Care Coverage

  • Education Reimbursement

  • Competitive Paid Time Off

  • 4 Self-Care Days per year

  • Parental Leave

Education Requirements:

  • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field

Experience Requirements:

  • Software engineering background with at least 8 years of experience

Other Requirements:

  • Proficiency in Python, SQL, Unix-based systems, git, and github

  • Machine / Deep Learning development skills (AWS SageMaker, Hugging Face, transformers, PyTorch)

  • Fluent in written and spoken English

Responsibilities:

  • Work with subject matter experts and product owners to determine what questions should be asked

  • Curate, generate, and annotate data and create optimal datasets

  • Develop and tune Machine Learning models

  • Utilize, adopt, and fine-tune Language Models

  • Stay current in the field and read research papers

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Turnitin

Principal Machine Learning Scientist (US Remote)

Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.

scienceremoteAtlanta, US
$147,300/year - $245,000/year
full-time

Benefits:

  • Health Care Coverage

  • Education Reimbursement

  • Competitive Paid Time Off

  • Self-Care Days

  • Parental Leave

Education Requirements:

  • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field

Experience Requirements:

  • At least 10 years of industry experience in Machine / Deep Learning, Computer Science and Software Engineering

Other Requirements:

  • Academic publications in peer reviewed conferences (NeurIPS, ICML, ICLR, etc.)

  • Deep Learning development skills (PyTorch, PyTorch Lightning, Ray, AWS SageMaker)

  • Understanding of Language Models and fine-tuning

  • Fluent in written and spoken English

Responsibilities:

  • Research and develop Machine Learning models and optimize for production

  • Explore ongoing product issues and recommend innovative ML/AI based solutions

  • Curate and generate optimal datasets following responsible practices

  • Investigate weaknesses of models in production and work on pragmatic solutions

  • Modify and fine-tune off the shelf models or develop novel models

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Turnitin

Senior Machine Learning Scientist - Applied Research (USA Remote)

Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.

scienceremoteAtlanta, US
$111,000/year - $185,000/year
full-time

Benefits:

  • Health Care Coverage

  • Education Reimbursement

  • Competitive Paid Time Off

  • 4 Self-Care Days per year

  • Parental Leave

Education Requirements:

  • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field

Experience Requirements:

  • At least 5 years of industry experience in Machine / Deep Learning, Computer Science and Software Engineering

Other Requirements:

  • Academic publications in peer reviewed conferences

  • Machine / Deep Learning development skills (PyTorch, Hugging Face, Transformers)

  • Understanding of Language Models and industry-standard LM families

  • Fluent in written and spoken English

Responsibilities:

  • Research and develop production grade Machine Learning models

  • Recommend innovative ML/AI based solutions for product challenges

  • Curate and generate optimal datasets including SQL, no-SQL and web data

  • Investigate weaknesses of models in production

  • Fine-tune off the shelf models including LLMs via API and local hosting

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Turnitin

Senior Machine Learning Scientist (USA Remote)

Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.

scienceremoteChicago, US
$112,125/year - $186,875/year
full-time

Benefits:

  • Health Care Coverage

  • Education Reimbursement

  • Competitive Paid Time Off

  • 4 Self-Care Days per year

  • Parental Leave

Education Requirements:

  • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field

Experience Requirements:

  • Software engineering background with at least 8 years of experience

Other Requirements:

  • Proficiency in Python, SQL, Unix-based systems, git, and github

  • Machine / Deep Learning development skills

  • Fluent in written and spoken English

Responsibilities:

  • Work with subject matter experts to determine product questions

  • Curate, generate, and annotate data and create optimal datasets

  • Develop and tune Machine Learning models

  • Utilize, adopt, and fine-tune Language Models

  • Optimize models for scaled production usage

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Soundful

Data Scientist

Generate unique, royalty-free background music for videos, podcasts, and social media in seconds with this AI-powered production tool for modern creators.

scienceremoteUSfull-time

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

Education Requirements:

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

Experience Requirements:

  • 6+ years professional Data Science experience

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

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

Other Requirements:

  • Consumer product and subscription modeling expertise

  • 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

  • Familiarity with python audio processing libraries such as Librosa

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

Responsibilities:

  • Collect, analyze, and present processed and unprocessed data pertaining to music creation tech

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

  • Collaborate with the engineering team to bring analytical prototypes to production

  • Make clear recommendations to improve and work with other department leads to execute

  • Help design data team hiring roadmaps

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Character.AI

Staff Data Scientist, Monetization

Interact with millions of unique AI personalities for immersive storytelling, creative writing, and interactive entertainment via web or mobile applications.

sciencehybridRedwood City, US
$180K - $300K
full-time

Benefits:

  • Top-notch health coverage for you & your family

  • Generous 401(K) contribution

  • Up to 20 weeks paid leave for new parents

  • 4 weeks of PTO

  • Daily in-office catering plus a monthly Doordash stipend

Experience Requirements:

  • 7+ years of experience as a Data Scientist working on consumer-facing products

  • Direct experience supporting monetization systems (subscriptions, ads, or virtual currencies)

  • Experience building or scaling data science practices

Other Requirements:

  • Strong intuition for identifying high-impact insights

  • Proven ability to turn analysis into product decisions

  • Comfortable working in experimental environments with incomplete data

Responsibilities:

  • Partner with product and engineering teams to drive data-informed monetization

  • Define success metrics and lead experimentation

  • Translate complex behavioral and economic data into actionable insights

  • Build data science foundations to support rapid product iteration

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Character.AI

Staff Data Scientist, Trust & Safety

Interact with millions of unique AI personalities for immersive storytelling, creative writing, and interactive entertainment via web or mobile applications.

sciencehybridRedwood City, US
$180K - $300K
full-time

Benefits:

  • Top-notch health coverage for you & your family

  • Generous 401(K) contribution

  • Up to 20 weeks paid leave for new parents

  • 4 weeks of PTO

  • Daily in-office catering plus a monthly Doordash stipend

Experience Requirements:

  • 7+ years of experience in data science leadership at chat, social media, or UGC product companies

  • 2+ years of experience as a data scientist supporting the trust & safety function

Other Requirements:

  • Strong intuition for choosing the right questions and driving to key insights

  • Ability to stand up data science tools and systems

  • Experience with ecosystems data science or B2C/C2C marketplaces

Responsibilities:

  • Support the Safety team across product areas

  • Focus on the two-sided ecosystem of Creators and Users

  • Design innovative, user-centered solutions

  • Collaborate closely with cross-functional product teams

  • Turn findings into actionable next steps and execute with engineering

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Inven

Data Scientist / ML Engineer

Uncover high-potential M&A targets and private market deals with AI-powered search, verified contact data, and advanced intent-to-sell signals for deal teams.

scienceonsiteHelsinki, FIfull-time

Benefits:

  • Competitive salary

  • Equity (own a piece of the company)

  • True ownership & flexibility

  • Minimal bureaucracy

  • AI-first culture

Education Requirements:

  • Strong math skills (linear algebra and statistics)

Experience Requirements:

  • Experienced Data Scientist / ML Engineer

  • Foundational knowledge of NLP and LLMs

  • Experience with Python, NumPy, PyTorch, Hugging Face, Flyte, or PySpark

  • Past experience with entity resolution, information extraction, or document retrieval

Other Requirements:

  • Startup-minded and high-performer

  • Hunger for innovation

  • Knowledge of how to make ML pipelines and products scale

  • Fluency in English

Responsibilities:

  • Work on complex, data-heavy features

  • Define what a great AI-first product looks like

  • Address entity resolution and information extraction

  • Manage document retrieval, ranking and clustering

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Tavus

AI Researcher (Multimodal Audio/Video Generation)

Deploy lifelike AI avatars that see, hear, and respond in real-time with emotional intelligence for high-fidelity sales, support, and educational video experiences.

scienceonsiteSan Francisco, USfull-time

Education Requirements:

  • PhD (or near completion) in a relevant field or equivalent experience

Experience Requirements:

  • experience applying image/video generation models

  • foundations in generative modeling

  • deep familiarity with diffusion models

  • understanding of video-language models and multimodal generation

  • proficiency in PyTorch and GPU-based inference

Other Requirements:

  • experience with long-video or audio generation

  • skills in 3D graphics or Gaussian splatting

  • publications in top-tier venues (CVPR, NeurIPS, etc.)

  • familiarity with software engineering best practices

Responsibilities:

  • research and develop audio-visual generation models

  • focus on models coupled with conversation flow

  • experiment with diffusion models and long-video generation

  • collaborate with Applied ML team for production implementation

  • stay ahead of latest advancements in multimodal generation

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BeyondAI

Sr. Data Scientist

Deploy enterprise-grade autonomous AI that reasons and explains decisions in high-stakes industrial environments like energy, aerospace, and manufacturing.

sciencehybridTWfull-time

Experience Requirements:

  • 5+ years of hands-on experience in AI, Machine Learning, and Data Science

  • Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning

  • Experience working with OCR, ASR, and TTS applications in real-world deployments

  • Proven experience deploying AI models in production at scale

  • Proficiency in Python, PyTorch, and transformer-based architectures

Other Requirements:

  • Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures

  • Strong awareness of AI system performance benchmarks (latency, speed, throughput)

  • Experience with cloud computing and containerization (Docker, Kubernetes)

  • Support language-specific adaptation for Traditional Chinese, Simplified Chinese, Japanese, or Korean markets

Responsibilities:

  • Develop and deploy AI models for unstructured data with a focus on enterprise-scale performance

  • Fine-tune, optimize, and deploy LLMs and multimodal models integrating distributed training

  • Design and implement production-ready AI solutions ensuring scalability and low-latency inference

  • Build and maintain end-to-end LLM Ops pipelines for training, deployment, and monitoring

  • Implement vector search and retrieval-augmented generation (RAG) systems

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BeyondAI

Senior Data Scientist

Deploy enterprise-grade autonomous AI that reasons and explains decisions in high-stakes industrial environments like energy, aerospace, and manufacturing.

sciencehybridEGfull-time

Experience Requirements:

  • 5+ years of hands-on experience in AI, Machine Learning, and Data Science

  • Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning

  • Experience working with OCR, ASR, and TTS applications in real-world deployments

  • Proven experience deploying AI models in production at scale

  • Proficiency in Python, PyTorch, and transformer-based architectures

Other Requirements:

  • Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures

  • Strong understanding of cloud computing and containerization (Docker, Kubernetes)

  • Deep understanding of multimodal architectures and model distillation

Responsibilities:

  • Develop and deploy AI models for unstructured data with a focus on enterprise-scale performance

  • Fine-tune, optimize, and deploy LLMs and multimodal models integrating distributed training

  • Design and implement production-ready AI solutions ensuring scalability and low-latency inference

  • Build and maintain end-to-end LLM Ops pipelines for training, deployment, and monitoring

  • Implement vector search and retrieval-augmented generation (RAG) systems

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AirOps

Lead Applied Scientist

Drive growth and AI search visibility through automated content engineering that combines multi-engine insights, brand-specific knowledge bases, and team workflows.

sciencehybridNew York City, USfull-time

Benefits:

  • Equity in a fast-growing startup

  • Competitive benefits package

  • Flexible time off policy

  • Parental Leave

  • A fun-loving and nerdy team

Experience Requirements:

  • 5+ years building production machine learning systems

  • Strong background in NLP and search/recommendation systems

Other Requirements:

  • Deep expertise in classical and modern deep learning architectures

  • Ability to take models from research to production

Responsibilities:

  • Design and deploy end-to-end machine learning systems

  • Build ML systems that analyze AI search behavior

  • Partner with product managers to translate requirements into solutions

  • Influence architecture decisions and improve team practices

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AirOps

Lead Data Scientist

Drive growth and AI search visibility through automated content engineering that combines multi-engine insights, brand-specific knowledge bases, and team workflows.

sciencehybridNew York City, USfull-time

Benefits:

  • Equity in a fast-growing startup

  • Competitive benefits package

  • Flexible time off policy

  • Parental Leave

  • A fun-loving and nerdy team

Experience Requirements:

  • 5+ years building production machine learning systems

  • Strong background in NLP and search/recommendation systems

Other Requirements:

  • Expertise across ML approaches (XGBoost, Transformers, RL)

  • Proven ability to optimize models for latency and cost

Responsibilities:

  • Design and deploy end-to-end machine learning systems

  • Build systems that analyze AI search behavior

  • Create algorithms for AI agent discovery and ranking

  • Collaborate with product managers on technical solutions

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Sully.ai

Applied Research Scientist

Reduce clinician burnout and administrative waste with autonomous AI agents that handle medical scribing, patient triage, and coding across 50+ EHR integrations.

sciencehybridUS
USD 180000 - USD 220000
full-time

Benefits:

  • Revolutionizing the antiquated $800B+ Healthcare market

  • Team of 50%+ ex-founders

  • Work with urgency, autonomy, and ownership

  • Solve first-of-their-kind problems in AI and medicine

  • Help doctors reclaim time and patients get better care

Experience Requirements:

  • Proven experience in agentic processes and LLM eval

  • Strong Python and ML background (PyTorch, Hugging Face)

  • Published research or deep applied work in LLMs

  • Experience designing rigorous experiments

  • Strong communication and technical writing skills

Other Requirements:

  • Entrepreneurial core

  • Elite teammate

Responsibilities:

  • Build and scale automated evaluation pipelines

  • Audit existing evaluation approaches

  • Define benchmarks and automated pipelines

  • Partner with engineering for CI gates

  • Deliver repeatable evaluation framework

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Oscilar

Sr./Staff Data Scientist

Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.

scienceremotefull-time

Benefits:

  • Competitive salary and equity packages, including a 401k

  • Remote-first culture — work from anywhere

  • 100% Employer covered comprehensive health insurance

  • Unlimited PTO policy

  • Regular team events and offsites

Experience Requirements:

  • 3+ years of experience in data science, machine learning, or a related field

  • Proficiency in Python

  • Experience working with large datasets using distributed systems like Apache Spark and Dask

Other Requirements:

  • Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus

  • Strong knowledge of machine learning algorithms and statistical techniques

  • Excellent analytical and problem-solving skills

  • Strong communication skills

Responsibilities:

  • Develop and implement advanced fraud detection models

  • Collaborate with cross-functional teams to design systems

  • Analyze large volumes of data to identify patterns and trends

  • Evaluate and optimize performance of existing models

  • Stay up-to-date with latest trends in fraud detection and ML

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Oscilar

Sr./Staff Data Scientist

Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.

scienceremoteCAfull-time

Benefits:

  • Competitive salary and equity packages, including a 401k

  • Remote-first culture — work from anywhere

  • 100% Employer covered comprehensive health insurance

  • Unlimited PTO policy

  • Regular team events and offsites

Experience Requirements:

  • 3+ years of experience in data science, machine learning, or a related field

  • Proficiency in Python

  • Experience working with large datasets using distributed systems like Apache Spark and Dask

Other Requirements:

  • Strong knowledge of machine learning algorithms

  • Excellent analytical and problem-solving skills

  • Experience in fintech, marketplaces, or financial services industry is preferred

  • Knowledge of current fraud tactics and trends

Responsibilities:

  • Develop and implement advanced fraud detection models

  • Collaborate with cross-functional teams to design systems

  • Analyze large volumes of data for fraud patterns

  • Evaluate performance of existing fraud detection models

  • Communicate complex data analysis to stakeholders

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Outset

Research Manager

Reveal the deeper why behind consumer behavior through AI-moderated qualitative research at quantitative speed for enterprise UX and market research teams.

sciencehybridSan Francisco, US
$150K - $180K
full-time

Benefits:

  • Daily collaboration with founders

  • Exposure to design and research leaders at top global brands

  • Competitive cash and equity compensation

Experience Requirements:

  • 5+ years in research, insights, or strategy roles

  • Strong qualitative research experience

Other Requirements:

  • Comfortable owning projects and client relationships independently

  • Fluent in both numbers and narratives

  • Clear, confident communicator

Responsibilities:

  • Own customer relationships end-to-end as a research partner

  • Independently scope, design, and run research projects

  • Turn qualitative and quantitative data into clear, actionable insights

  • Lead customer meetings, onboardings, and training sessions

  • Create research and product-focused content and enablement materials

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Nuclia

Senior Principal Information Science Consultant

Build trustworthy AI agents and enterprise search systems using a modular RAG-as-a-Service platform that transforms unstructured data into verifiable answers.

scienceremoteIEfull-time

Benefits:

  • Generous remuneration package

  • Employee Stock Purchase Plan Enrollment

  • 25 vacation days annually

  • Pension plan

  • Private health insurance

Experience Requirements:

  • 8–10+ years in information science or related discipline

  • Substantial time in consulting or advisory roles

  • Knowledge of W3C semantic standards (RDF, SKOS, OWL)

  • Consultative approach with enterprise customers

  • Hands-on experience with semantic technologies, taxonomies, and ontologies

Other Requirements:

  • Experience with text analytics and rule-based auto-tagging systems

  • Practical experience with REST-based APIs

  • Experience in highly regulated or content rich industries

  • Familiarity with consultative frameworks (discovery, journey mapping)

Responsibilities:

  • Lead in-depth discovery of business objectives and ecosystems

  • Facilitate workshops on semantic modeling and taxonomy design

  • Act as a trusted advisor to business and technical stakeholders

  • Define and oversee design of thesauri, ontologies, and taxonomies

  • Develop complex classification strategies

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Nuclia

Senior Principal Information Science Consultant

Build trustworthy AI agents and enterprise search systems using a modular RAG-as-a-Service platform that transforms unstructured data into verifiable answers.

scienceremoteGBfull-time

Benefits:

  • Competitive salary

  • Bonus

  • Employee Stock Purchase Program (ESPP)

  • Premium Collective Health Insurance Plan

  • Premium Collective Pension Scheme

Experience Requirements:

  • 8–10+ years in information science or related discipline

  • Substantial time in consulting or advisory roles

  • Knowledge of W3C semantic standards (RDF, SKOS, OWL)

  • Consultative approach with enterprise customers

  • Hands-on experience with semantic technologies

Other Requirements:

  • Experience with text analytics and rule-based auto-tagging systems

  • Practical experience with REST-based APIs

  • Background working with cross functional teams (Product, CS, AI)

  • Familiarity with consultative frameworks

Responsibilities:

  • Lead in-depth discovery of business objectives and ecosystems

  • Facilitate workshops and advisory sessions

  • Define and oversee design of thesauri, ontologies, and taxonomies

  • Develop complex classification strategies

  • Lead complex client engagements as senior consultant

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