Machine Learning Scientist Job at Intratek Computer, Inc. (Irvine)

Machine Learning Scientist

Location

Netherlands , Amsterdam

Salary:

Not provided

Salt

Expiration Date

Until further notice

Requirements

Strong experience in Machine Learning, Generative AI, NLP, and/or Computer Vision
Hands-on experience with large-scale ML model development and deployment
Proficiency in Python, SQL, Spark, Kafka, Hadoop, or similar technologies
MSc with 3+ years or PhD with 2+ years of relevant experience in ML/AI
Strong communication and stakeholder management skills.

Job Responsibility

Design, train, fine-tune, and evaluate ML and Generative AI models
Develop scalable AI solutions using LLMs, NLP, CV, and agentic architectures
Analyze model performance, experimentation metrics, and data quality
Collaborate with engineers and cross-functional teams to deploy production-ready ML systems
Build reusable, scalable, and high-quality ML frameworks and pipelines.

Machine Learning Scientist

LMArena is seeking a variety of Machine Learning Scientist to help advance how w...

Location

United States , Bay Area

Salary:

Not provided

Arena Intelligence, Inc.

Expiration Date

Until further notice

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

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

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

Machine Learning Scientist

We’re looking for early members of our research team. You’ll work closely with t...

Location

United States , Boston; NYC

Salary:

160000.00 - 280000.00 USD / Year

Suno

Expiration Date

Until further notice

Requirements

5+ years experience training state of the art models with distributed pytorch
Intimate familiarity of the entire stack of data engineering, designing, training and evaluating machine learning models
Track record showing independent ownership of entire research projects from start to finish
Extensive experience training large generative models from scratch (LLMs or diffusion models)
Applicants must be eligible to work in the US

What we offer

Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)

Fulltime

Machine Learning Scientist

From transcribing medical conversations to delivering key takeaways, our trailbl...

Location

United States , San Francisco; New York

Salary:

205000.00 - 300000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience
High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR)
Significant real-world impact, as demonstrated through open source contributions and deployed technology
Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production
Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data
Must be willing to work from our SF office at least 3x per week

Job Responsibility

Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation
Actively contribute to the wider research community by sharing and publishing original research
Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production
Dial deeply into real-time feedback from clinicians to guide further refinements and innovations
Be results-oriented in the face of ambiguous problems and uncertain outcomes

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

Senior Machine Learning Scientist (User Modelling/Representation Learning)

About Viator Viator, a Tripadvisor company, is the leading marketplace for trave...

Location

United Kingdom; Poland

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of hands-on data science experience
In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges
Strong skills in SQL and at least one programming language
To be 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
To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability
Leadership qualities, autonomy, and team collaboration skills
Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively

Job Responsibility

The Representation Learning team’s charter is to enable embedding latent representations of entities across our platform. The unique challenges/ opportunities that you would help tackle are embedding entities to understand user behavior across multi-touch fragmented journeys in a continuous cold start setting
Get to work on Knowledge Graph Embeddings, Auto-Encoders, Attention etc to enable representing Users and Experiences in a common latent space with application across multiple downstream tasks like Search, Ranking, Notifications etc
Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency
Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives
Investigate and adopt innovative concepts that offer tangible benefits

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. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like
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

New

Ai Machine Learning Scientist

The AI Machine Learning Scientist is responsible for Artificial Intelligence (AI...

Location

United States of America , Richmond

Salary:

Not provided

Elevance Health

Expiration Date

July 15, 2026

Requirements

Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience
or any combination of education and experience in configuration management, which would provide an equivalent background.

Job Responsibility

Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational challenges at enterprise scale
Build and maintain infrastructure, pipelines, and services that connect structured and unstructured data sources for AI-driven applications
Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy, bias, safety, and performance
Establish monitoring, observability, and governance processes to ensure AI systems remain reliable and compliant in production
Collaborate with engineering and product teams to integrate AI capabilities into enterprise platforms and applications
Drive adoption of Responsible AI practices by implementing evaluation standards, audit-ready documentation, and model governance controls
Optimize AI systems for scalability, latency, reliability, and cost efficiency
Support experimentation, benchmarking, and model comparison activities to improve decision-making and accelerate AI innovation
Partner with cross-functional stakeholders to translate business requirements into production-ready AI capabilities and services

What we offer

merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical
dental
vision
short and long term disability benefits
401(k) +match
stock purchase plan

Fulltime

New

AI Machine Learning Scientist

The AI Machine Learning Scientist plays a critical role in enabling the responsi...

Location

United States , Richmond; Tampa; Atlanta; Indianapolis

Salary:

Not provided

Elevance Health

Expiration Date

June 26, 2026

Requirements

Requires a Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience
or any combination of education and experience in configuration management, which would provide an equivalent background.

Job Responsibility

Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational challenges at enterprise scale
Develops and maintains infrastructure systems that connect internal data sets
creates new data collection frameworks for structured and unstructured data
Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy, bias, safety, and performance
Establish monitoring, observability, and governance processes to ensure AI systems remain reliable and compliant in production
Drive adoption of Responsible AI practices by implementing evaluation standards, audit-ready documentation, and model governance controls
Optimize AI systems for scalability, latency, reliability, and cost efficiency.

What we offer

Merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical, dental, vision, short and long term disability benefits
401(k) +match
stock purchase plan
life insurance
wellness programs
financial education resources

Fulltime

AI Machine Learning Scientist

Location

United States of America , INDIANAPOLIS

Salary:

Not provided

Elevance Health

Expiration Date

July 15, 2026

Requirements

Bachelor’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study
Four (4) years of Information Technology (IT) experience, or related experience
Experience with Machine Learning techniques including supervised learning (linear regression and classification) and unsupervised learning (clustering)
Experience with Deep Learning techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning
Experience using Python programming language
Experience with big data technologies including Hadoop, Apache Spark, and AWS
Experience with relational database management and SQL
Experience with Natural Language Processing (NLP) techniques including sentiment analysis and text classification
Experience with statistical analysis and application of statistical methods
Employer will accept a Master’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and Two (2) years of Information Technology (IT) experience, or related. Must have the skills listed above.

Job Responsibility

Leverage Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement
Engage with product teams and business stakeholders to align on project objectives and ensure AI models meet business goals
Lead initiatives for developing Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) LLM models
Play a critical role in steering the strategic direction for ML, NLP, LLM, and algorithm development within the company’s AI/ML team, collaborating with distinguished experts in AI/ML modeling, ML engineering, data science, and data engineering
Define and articulate roadmaps for AI/ML model development, acting as a key figure in AI-driven transformation to deliver value internally and to customers
Design and develop customized ML, GenAI, NLP, and LLM models for both batch and stream processing-based AI/ML pipelines. This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications
Work closely with MLOps, machine learning engineers, and software engineers to ensure seamless integration of machine learning models into production systems
Collaborate with the MLOps team to create and maintain strong evaluation solutions and tools that assess model performance, accuracy, consistency, and reliability during development and UAT
Mentor junior team members and influence the strategic direction of our ML and data science projects.

What we offer

merit increases
paid holidays
Paid Time Off
incentive bonus programs
medical
dental
vision
short and long term disability benefits
401(k) +match
stock purchase plan

Fulltime

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Machine Learning Scientist

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