AI Researcher, Core ML Job at Together AI (San Francisco)

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

UX Researcher

We're looking for a UX Researcher (our very first researcher!) to unlock the nex...

Location

United States , San Francisco

Salary:

160000.00 - 260000.00 USD / Year

Gamma

Expiration Date

Until further notice

Requirements

4+ years of experience in UX research
Strong generative and evaluative research skills across multiple methods: user interviews, usability testing, surveys, contextual inquiry, etc.
Proven ability to recruit specialized user segments and manage participant pipelines, especially harder-to-reach professional or enterprise users
Experience researching AI or ML products (or fast learning ability)—understanding how to study non-deterministic systems, generative outputs, and user expectations
Design fluency: you don't need to be a fully-fledged product designer, but you can sketch, wireframe, or mock up concepts to bridge research and design
Startup execution mindset: comfortable with ambiguity, able to move from research question to insights quickly
Quantitative skills: you can write or vibe-code SQL to answer data-driven questions

Job Responsibility

Own and execute research for our highest-impact product questions
Recruit and build relationships with hard-to-reach user segments
Work fluidly across teams: core product, AI, growth, and beyond
Establish research operations and best practices for our design team
Balance rigor with startup velocity

What we offer

competitive equity

Fulltime

Staff / Principal Machine Learning Engineer

Our intelligent runtime must seamlessly connect to foundational models - whether...

Location

United States , Mountain View

Salary:

240000.00 - 385000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience
5+ years of combined experience in software development (Python, C++) and applied ML engineering
Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning
Strong foundation in data structures, algorithms, and neural network architectures
Proficiency with ML frameworks such as PyTorch

Job Responsibility

Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities
Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints
Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....

Location

United States , Boston

Salary:

170000.00 - 230000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience building and scaling large datasets and training large models in distributed compute environments
Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology

Job Responsibility

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
Develop scalable, distributed training pipelines for large models on high-performance compute environments
Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI

What we offer

competitive base salaries
meaningful equity
benefits
generous equity package

Fulltime

Ai/ml Infrastructure Engineer

Zensors is the spatial intelligence platform for the physical world. Our AI plat...

Location

United States , San Francisco

Salary:

150000.00 - 240000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

BS/MS or Ph.D. in Computer Science, Electrical Engineering, or a related discipline
Strong programming skills in C/C++ and Python
Experience with model optimization, quantization, and efficient deep learning techniques (e.g., knowledge distillation, pruning)
Deep understanding of GPU hardware performance, including execution models, thread hierarchy, memory/cache management, and the cost/performance trade-offs of video processing
Experience with profiling and benchmarking tools (e.g., Nsight Systems, Nsight Compute) to validate performance on complex architectures
Experience identifying and resolving compute and data flow bottlenecks, particularly in high-bandwidth video processing pipelines
Strong communication skills and the ability to work cross-functionally between research and infrastructure teams

Job Responsibility

Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures
Cross-Stack Collaboration: Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure
Model Acceleration: Applying advanced model optimization techniques—such as quantization (Int8/FP16), pruning, and layer fusion—to our Vision Transformers (ViTs) and CNNs to maximize throughput and minimize latency
Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries
Resource Efficiency: Reducing the compute cost per video stream to enable massive scalability of our SaaS product
Data Management: Building, improving, maintaining, and operating systems to facilitate the collection, labeling, and use of visual data for ML training

Fulltime

Vice President of Engineering

Radix is building the most trusted data and analytics platform in multifamily. J...

Location

United States , Scottsdale

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

Led engineering teams in high growth environments
Delivered production grade AI and ML systems end to end
Hands on experience with agentic AI systems including orchestration frameworks, multi agent workflows and safety guardrails
Skilled at architecting secure and compliant data platforms that support large AI workloads and enforce governance, privacy and access controls
Strong fluency in retrieval augmented generation and know how to build retrieval and embedding systems
Enjoy being hands on and can dive into complex technical problems
Deep engineering judgment and can evaluate tradeoffs between speed, quality and scalability
Proven experience building and scaling engineering teams that deliver high impact products
Leadership style grounded in presence, process, communication and accountability
Thrive in ambiguity yet know how to create structure and clarity

Job Responsibility

Shape and deliver a long-term technical strategy
Design and deliver production grade AI and ML systems end to end
Guide the evolution of Radix’s core platform
Build and scale a world class engineering organization
Architect secure and compliant data pipelines and APIs
Create sophisticated retrieval of augmented generation capabilities
Define the operating model and role clarity for ML Engineering, Applied Science and Data Science teams
Create engineering processes and systems that support both rapid iteration and long-term architectural integrity
Drive execution of the product roadmap through strong alignment with Product, Design and Data
Establish technical direction, architectural standards and engineering practices

What we offer

Medical, dental and vision coverage
Unlimited PTO
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

Data Engineer

As a Data Engineer, you’ll build and refine the pipelines, data models, and serv...

Location

United States , Redmond

Salary:

155000.00 - 175000.00 USD / Year

2A Consulting

Expiration Date

Until further notice

Requirements

Proven ability to design and build end-to-end data systems, from ingestion through cleaning, structuring, storage, and serving
Experience building and shipping data products that deliver practical value
Demonstrated impact using AI models in data workflows (applied use, not ML research)
5+ years of software or data engineering experience, including at least 2 years of hands-on work with data pipelines
Comfortable defining architecture and starting systems from scratch, working independently in a small cross-functional team
Proficiency in Python, SQL, or similar languages used in data engineering workflows

Job Responsibility

Build and maintain core data pipelines
Build and maintain end-to-end ingestion pipelines for documents, datasets, code repositories, videos, transcripts, and internal knowledge sources
Clean, normalize, structure, and store data in formats that support both web applications and AI-driven use cases
Use “out of the box” Microsoft tools—such as Fabric, Azure services, Cosmos DB, or Copilot Studio—to create reliable, maintainable systems
Enrich and model research data
Use AI models to transform unstructured content into structured metadata and durable knowledge assets
Design the architecture and foundational data systems, establishing the patterns and infrastructure for a new, scalable environment
Develop and refine embeddings, vector indexes, and retrieval components to support semantic search and grounding scenarios
Build backend and data services
Build data services, APIs, and backend components that power internal applications and agent-supported workflows

What we offer

Flexible time-off plan
100% employer-paid medical, dental, and vision insurance
Employer-paid life insurance for those enrolled in medical coverage
401(k) plan with company match
Fertility, surrogacy, and adoption benefits
Fitness and caregiver benefits
Employee Assistance Program
100% employer-paid short- and long-term disability coverage

Fulltime

Lead AI Compiler Engineer

We are looking for an AI Compiler Engineer to join this high impact team working...

Location

India , Hyderabad

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Excellent C/C++ and Python coding skills
Good understanding of SIMD, VLIW processor architecture
Experience with vectorized programming (SIMD)
Thorough understanding of fixed and floating point arithmetic
Good understanding of various operators in state-of-the-art AI models
Knowledge of low-level hardware details (cache hierarchy, DMA programming)
Excellent problem-solving skills especially on debug and a passion for on-device AI
Prefer candidates with past experience on AI compiler design
BS/Masters/PhD degree in Computer Science, Electrical Engineering, or a related field

Job Responsibility

Graph transformation
Constant folding
Operator fusion: Identify and implement performance optimization opportunities by reducing memory traffic through operator fusion at different memory hierarchy levels e.g., attention block
Common subexpression elimination
Problem partitioning and dataflow orchestration: Design of algorithms to optimally map given AI operation to the NPU comprising of an interconnected array of AI engines
Design and implementation of algorithms to orchestrate dataflow through multi-level memory hierarchy
Kernel Design and Development: Design and implement highly optimized C++/intrinsic based kernels for AI related operators
Develop vectorized code that leverages SIMD (Single Instruction, Multiple Data) and VLIW (Very Long Instruction Word) for optimal performance
Perform performance, program memory and accuracy tradeoffs
Testing and Validation: Develop CPU models for the ML operators in C++/ Python to validate accuracy

AI Researcher, Core ML

Together AI

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 13, 2025

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