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

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

New

Research Scientist Intern, AI Core Machine Learning

Meta is seeking Research Interns to join Monetization Ranking & AI Foundations w...

Location

United States , Sunnyvale

Salary:

7650.00 - 12134.00 USD / Month

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

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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