Senior Research Scientist - Machine Learning Job at STR (Woburn)

Senior Machine Learning Engineer (Research Scientist) - Data Foundation & AI

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

228960.00 - 315360.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

Strong applied ML research skills with production delivery experience
Depth in Transformers/LLMs, representation learning, or large-scale model training
Demonstrated ability to ship models to production (not just prototype)
Distributed training experience and strong Python + software engineering fundamentals
Fintech / financial data domain experience is a plus
External publications or open-source contributions is a plus

Job Responsibility

Building a foundation model on one of the world’s richest financial datasets that no one else has
Doing research that ships: moving from experimentation and prototypes to production systems serving real customers
Working across the full ML stack, from pretraining objectives and architectures to serving infrastructure and monitoring
Collaborating with a high-caliber team and seeing your work amplify the capabilities of multiple product teams
Helping hundreds of millions of consumers achieve greater financial freedom through data-driven products

Fulltime

Senior Machine Learning Engineer - Fraud (Research Scientist)

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , San Francisco

Salary:

225600.00 - 337200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

PhD strongly preferred
we will consider equivalent research experience with a strong publication/innovation track record
3+ years of experience as a Machine Learning Engineer or Research Scientist
Strong scientific rigor and communication
Strong Python skills + ability to build high-quality research prototypes

Job Responsibility

Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning
Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact
Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering
Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom

Fulltime

Senior Machine Learning Engineer - Fraud (Research Scientist)

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States

Salary:

225600.00 - 337200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

PhD strongly preferred
we will consider equivalent research experience with a strong publication/innovation track record
3+ years of experience as a Machine Learning Engineer or Research Scientist
Strong scientific rigor and communication
Strong Python skills + ability to build high-quality research prototypes

Job Responsibility

Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning
Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact
Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering
Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom

Fulltime

Senior Machine Learning Scientist

We are looking for a Senior Machine Learning Scientist to lead machine learning ...

Location

United Kingdom , Oxford

Salary:

65000.00 - 70000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

PhD in a relevant field, with industry experience
Proficiency in Python and common ML libraries (e.g. PyTorch, TensorFlow, scikit-learn)
Proficiency with version control and good software engineering practices
Deep expertise in machine learning and experimental methodology
Strong track record of applied problem-solving
Experience planning and delivering complex machine learning projects
Ability to operate with minimal guidance in ambiguous problem spaces
Evidence of significant research achievement

Job Responsibility

Lead ML strategy and technical execution for major projects
Design novel or advanced modelling approaches as needed
Contribute significantly to scientific or technical outputs such as publications, patents, or grant applications
Write, review, and take responsibility for technical documentation, reports, and algorithm specifications
Translate research concepts into proof-of-concepts, working prototypes and scalable solutions
Ensure reproducibility, documentation quality, and adherence to scientific and machine learning best practices
Collaborate with internal teams on product development

Senior Machine Learning Scientist (Experiences)

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
5+ years of industry experience developing, validating, and deploying large-scale ML models in production environments
Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms
Proven ability to tweak, hybridize, and adapt existing state-of-the-art architectures to solve non-linear business problems
Experience with multi-task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable
Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools

Job Responsibility

Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist 'off-the-shelf,' breaking down massive research goals into deliverable, iterative milestones
Evaluate the global research landscape to conduct cost-benefit analyses on new architectures, balancing model complexity against inference speed, memory usage, and execution costs (such as token consumption). Optimize models for production using techniques like quantization and distillation
Tailor Golden Datasets and leaderboards with minimal supervision, and implement rigorous validation automation (such as backtesting and slice-based evaluation) to prevent data leakage, over-fitting, and production regressions
Collaborate closely with Engineering Leads to ensure compute/GPU infrastructure supports model requirements. Clearly define model failure modes, edge cases, and confidence thresholds—to enable SWE partners to build robust fallback systems
Diagnose complex algorithmic bugs and implement automated checks for 'Silent Failures' (e.g., concept drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions
Formally mentor mid-level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
Donation matching. Give back? Give more! We match qualifying charitable donations annually
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
Travel perks. We believe that travel is employee development, so we provide discounts and more
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
Health benefits. We offer great coverage and competitive premiums
Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates

Fulltime

Senior Machine Learning Scientist, Multimodal & Relational Foundation Models

As part of our team, you will help to accelerate and optimize our progress in de...

Location

United States , Redwood City; San Diego

Salary:

251700.00 - 330000.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, or a similar quantitative field with 5+ years of relevant work experience in academic or industry settings
Prior experience in developing and implementing novel generative AI models, specifically in multimodal integration, GraphRAG, or relational deep learning
Deep understanding of Machine Learning principles and how they apply to diverse architectures like Transformers, GNNs, and diffusion models
Very strong programming skills in Python and deep learning libraries (e.g., PyTorch, JAX, Hugging Face Transformers/Accelerate)
Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray)
Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR)

Job Responsibility

Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs
Architect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs
Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets
Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes
Gain insights into model performance based on theory, deep research, and the mathematical underpinnings of set-invariant and graph-structured architectures
Apply strong coding experience to model development and deployment, ensuring research prototypes transition into reliable, scalable production systems
Stay up-to-date on the latest developments in deep learning—including native early-fusion and Mixture-of-Experts (MoE) architectures—and apply this knowledge to Altos' research
Mentor junior staff while maintaining a high individual technical contribution to the core research ecosystem and peer-reviewed publications

Fulltime

Senior Machine Learning Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United States , Boston

Salary:

290250.00 - 500400.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable
Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
snacks in our offices

Fulltime

Senior Machine Learning Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

United States , Scottsdale

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

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Senior Research Scientist - Machine Learning

Job Description

Job Responsibility

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