CrawlJobs Logo

Research Intern, Model Shaping

together.ai Logo

Together AI

Location Icon

Location:
United States , San Francisco

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

58.00 - 63.00 USD / Hour

Job Description:

As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning; New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods); Robust and reliable evaluation of foundation model capabilities. The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems.

Job Responsibility:

  • Research and implement novel techniques in one or more of our focus areas
  • Design and conduct rigorous experiments to validate hypotheses
  • Document findings in scientific publications and blog posts
  • Integrate the research results into Together products
  • Communicate the plans, progress, and results of projects to the broader team

Requirements:

  • Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field
  • Strong knowledge of Machine Learning and Deep Learning fundamentals
  • Experience with deep learning frameworks (PyTorch, JAX, etc.)
  • Strong programming skills in Python
  • Familiarity with Transformer architectures and recent developments in foundation models

Nice to have:

  • Prior research experience with foundation models or efficient machine learning
  • Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP)
  • Understanding of model optimization techniques and hardware acceleration approaches
  • Contributions to open-source machine learning projects
What we offer:
  • competitive compensation
  • housing stipends
  • other competitive benefits

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Research Intern, Model Shaping

Software Engineer, Research - Human Data

OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefit...
Location
Location
United States; United Kingdom , San Francisco; London
Salary
Salary:
230000.00 - 385000.00 USD / Year
openai.com Logo
OpenAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong software engineering fundamentals
  • Experience building production systems at scale
  • Enjoy full-stack development with end-to-end ownership
  • Motivated by high-impact collaboration with research teams and solving novel, ambiguous problems
  • Excited to shape how AI systems learn from human preferences and reflect a broad range of human values
  • Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness
Job Responsibility
Job Responsibility
  • Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security
  • Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks
  • Design and iterate on user-facing tools and backend services to support high-quality data workflows
  • Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms
  • Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT
What we offer
What we offer
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Fulltime
Read More
Arrow Right

Model Behavior Architect

We're looking for a Model Behavior Architect to help build Perplexity's AI produ...
Location
Location
United States , San Francisco
Salary
Salary:
180000.00 - 260000.00 USD / Year
perplexity.ai Logo
Perplexity
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience designing evaluations, benchmarks, or metrics for AI systems
  • Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders
  • Ability to manage multiple concurrent projects in a fast-moving environment
  • Strong experience with Perplexity or other frontier AI models in production settings
  • Demonstrated experience with Python — you'll prototype, debug, automate, and build systems at scale
  • 3+ years of experience working with LLMs in a product or research setting
Job Responsibility
Job Responsibility
  • Context Engineering: Design, test, and optimize context strategies and system prompts that shape answer engine behavior across products, features, and use cases
  • Evaluation Systems: Build automated and semi-automated evaluation pipelines that measure model quality, catch regressions, and scale across product surfaces
  • Model Launch Support: Partner with research and engineering to validate model behavior before and during rollouts, ensuring smooth transitions with no degradation
  • Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects — for both internal and production-facing systems
  • Cross-functional Collaboration: Work closely with design, product, and research teams to translate product goals into concrete model behavior requirements
  • Knowledge Sharing: Help engineers across teams build intuition for prompt design, context engineering, and evaluation best practices
  • Staying Current: Track the latest alignment, evaluation, and prompting techniques from industry and academia, and bring the best ideas back to the team
What we offer
What we offer
  • equity
  • health
  • dental
  • vision
  • retirement
  • fitness
  • commuter and dependent care accounts
  • Fulltime
Read More
Arrow Right

Machine Learning Scientist

LMArena is seeking a variety of Machine Learning Scientist to help advance how w...
Location
Location
United States , Bay Area
Salary
Salary:
Not provided
arena.ai Logo
Arena Intelligence, Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field
  • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)
  • Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow
  • Demonstrated ability to design and analyze experiments with statistical rigor
  • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation
  • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks
  • Ability to translate research questions into practical systems and collaborate across engineering and product teams
  • Passion for open science, reproducibility, and community-driven research
Job Responsibility
Job Responsibility
  • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions
  • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks
  • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences
  • Collaborate with engineers to implement and scale research findings into production systems
  • Prototype and test research ideas rapidly, balancing rigor with iteration speed
  • Author internal reports and external publications that contribute to the broader ML research community
  • Partner with model providers to shape evaluation questions and support responsible model testing
  • Contribute to the scientific integrity and transparency of the LMArena leaderboard and tools
What we offer
What we offer
  • Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs
  • The opportunity to work on cutting-edge AI with a small, mission-driven team
  • A culture that values transparency, trust, and community impact
  • Fulltime
Read More
Arrow Right

Head of Product Data Science

As the Data Science Leader at Abridge you will be responsible for building a wor...
Location
Location
United States , San Francisco
Salary
Salary:
275000.00 - 325000.00 USD / Year
abridge.com Logo
Abridge
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)
  • 12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and execution
  • Depth of experience using Python, R, SQL for large-scale analytics
  • Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
  • Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
  • Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.
  • A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environment
Job Responsibility
Job Responsibility
  • Build and manage a world-class team of data scientists, providing guidance, mentorship and high standards while growing the team to 12+ over the next twelve months
  • Foster a high impact and collaborative team culture, focused on having agency, providing clarity of thinking to the organization and pride in authorship
  • Drive product strategy through data-driven insights across our growing product portfolio , including user behavior analysis, deep-dives into product performance metrics, casual inference experimentation
  • Partner with our product, strategy and research teams to develop sophisticated ROI frameworks for our customers, ingesting real-time data and demonstrating impact
  • Collaborate with our world-class research team on models and model evaluation, including shaping our model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinically
  • Effectively communicate our data strategy, complex analyses and key insights to cross-functional partners including the executive team
  • Structure the company’s data strategy, working closely with our Data Engineering team to identify gaps in data sources, ingest internal & external data, and structure that data for optimal use across the Company
  • Make critical technical infrastructure decisions for the data organization, including tooling choices, build vs buy tradeoffs for analytics platforms, and setting technical standards that enable the team to move fast without creating technical debt
  • Build the data science org of the future, incorporating the current and soon-to-come best practices in order to utilize AI to speed up data ingestion and insight generation
What we offer
What we offer
  • Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
  • Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
  • Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
  • Paid Parental Leave: Generous paid parental leave for all full-time employees.
  • Family Forming Benefits: Resources and financial support to help you build your family.
  • 401(k) Matching: Contribution matching to help invest in your future.
  • Personal Device Allowance: Tax free funds for personal device usage.
  • Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
  • Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
  • Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Scientist (Generative AI)

About Viator: Viator, a Tripadvisor company, is the leading marketplace for trav...
Location
Location
United Kingdom; Poland
Salary
Salary:
Not provided
tripadvisor.com Logo
Tripadvisor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands-on data science experience
  • At least 2 years of experience with LLM
  • Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
  • In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
  • Strong skills in SQL
  • Strong skills in at least one programming language
  • Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
  • Experience in deploying online solutions and analysing real-time results through A/B testing
  • Passionate about mentoring junior members of the team
  • Leadership qualities, autonomy, and team collaboration skills
Job Responsibility
Job Responsibility
  • Research, prototype, and productionize generative AI models
  • Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
  • Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
  • Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
  • Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
  • Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
  • Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
  • Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
  • Stay up to date with the latest in GenAI research and help shape internal best practices
  • Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency
What we offer
What we offer
  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
  • “Work your way” with flexibility to suit your lifestyle
  • Flexible schedule
  • Donation matching
  • Tuition assistance
  • Lifestyle benefit (annual benefit to spend on yourself)
  • Travel perks
  • Employee assistance program
  • Health benefits
Read More
Arrow Right

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...
Location
Location
United States , San Francisco; New York
Salary
Salary:
285200.00 - 356500.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
  • 6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
  • Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
  • Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
  • Strong technical judgment across software engineering, system design, and applied ML fundamentals
  • Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
  • Bachelor’s degree required
  • Master’s or PhD in Computer Science or a related field strongly preferred
Job Responsibility
Job Responsibility
  • Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
  • Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
  • Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
  • Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
  • Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
  • use these insights to influence internal research, product roadmaps, and customer strategy
  • Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
  • Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • commuter stipend
  • Fulltime
Read More
Arrow Right

Chief Marketing Officer

Location
Location
Egypt , Sheikh Zayed City; New Cairo
Salary
Salary:
Not provided
ethicshr.com Logo
Ethics HR
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience of minimum 15 years in marketing leadership with a background in product development and market-driven portfolio building
  • Ability to think strategically while maintaining a clear, practical view of execution
  • Proven capacity for sound decision-making, especially when balancing research insights with business realities
  • Deep appreciation for style, taste, and product aesthetics, with the ability to translate market research into collections that are both functional and appealing
  • Expertise in market research, product positioning, and international brand management
  • Entrepreneurial spirit with the ambition and capacity to grow into a CEO-level leader
  • Strong interpersonal and communication skills for distributor engagement and internal collaboration
  • Fluent in English (additional languages a plus)
Job Responsibility
Job Responsibility
  • Conduct deep market research to identify international Horeca trends, competitor positioning, and customer demands
  • Map current product portfolio against global standards and highlight opportunities for innovation and differentiation
  • Define entry strategies for target markets (priority geographies, segment focus, and channel models)
  • Design a comprehensive, functional collection covering all Horeca needs across cuisines and service styles
  • Identify trends in shapes, aesthetics, and usability that align with both international standards and brand positioning
  • Work with internal/external designers: create research-based design briefs to develop shapes and styles aligned with customer needs
  • Lead the rebranding of Horeca lines and oversee positioning in international markets
  • Define the value proposition that resonates with hotels, restaurants, and cafés
  • Ensure the brand’s visual identity and messaging remain consistent across all channels
  • Develop strategies for selecting and engaging distributors, including whether to collaborate with competitor-linked agents
Read More
Arrow Right

Research Scientist Intern, Video & Image Generation

The XR Tech Research team is seeking highly motivated Research Interns to join u...
Location
Location
Switzerland , Zurich
Salary
Salary:
Not provided
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing a PhD in Computer Science, Electrical Engineering, or related field with a focus on machine learning, computer vision, or generative modeling
  • Strong research background with publications (or submissions) in top conferences such as CVPR, NeurIPS, ICLR, ICCV, ICML, or SIGGRAPH
  • Proficiency in deep learning frameworks such as PyTorch or TensorFlow
  • Solid understanding of generative models (diffusion models, GANs, VAEs, autoregressive transformers, etc.)
  • Strong programming skills and ability to work with large-scale datasets and compute infrastructure
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Job Responsibility
Job Responsibility
  • Conduct research on advanced topics in video and image generation, including but not limited to generative diffusion and transformer architectures, spatio-temporal modeling, and multimodal integration
  • Design, implement, and evaluate novel algorithms and model architectures
  • Collaborate closely with researchers and engineers across the XR-Tech group and broader FAIR/GenAI teams
  • Present findings and share insights that help shape both ongoing research and future directions
Read More
Arrow Right