Senior Machine Learning Engineer Job at Kiddom (San Francisco)

Senior Machine Learning Engineer

We’re hiring a Senior Machine Learning Engineer to help build the core AI system...

Location

United States , San Francisco

Salary:

230000.00 - 300000.00 USD / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Strong experience building production AI systems around LLMs, OCR, and unstructured data workflows
Proven track record shipping applied AI products, not just prototyping models offline
Deep familiarity with modern LLM workflows including prompting, structured outputs, tool use, retries, fallbacks, guardrails, and model evaluation
Experience with document intelligence systems such as OCR pipelines, document extraction, classification, post-processing, and confidence-based review flows
Experience with voice or conversational AI, or adjacent systems involving transcripts, call automation, and conversational extraction
Strong proficiency in Python and comfort working in production codebases with APIs, queues, and backend services
Experience deploying and operating AI systems in AWS or similar cloud environments, including serverless or event-driven architectures
Strong instincts around evaluation, benchmarking, monitoring, and quality assurance for real-world AI systems
Ability to work across structured and unstructured data and design systems that are robust to noisy, incomplete, and ambiguous inputs

Job Responsibility

Build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy
Own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes
Work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare

What we offer

Equity

Fulltime

Senior Machine Learning Engineer

This is a chance to join a fast growing tech unicorn building a next generation ...

Location

United Kingdom

Salary:

100000.00 - 160000.00 EUR / Year

Linux Recruit

Expiration Date

Until further notice

Requirements

Expert in Python with proven experience in ML inference optimisation
Hands on experience tuning inference engines and working with production scale systems using tools like vLLM, Triton, SGLang, and TensorRT

Job Responsibility

Deep in inference optimisation work using tools like vLLM, Triton, SGLang, and TensorRT
Pushing performance in the real world: reducing latency, improving model initialisation times and building distributed systems that make high performance AI both accessible and cost efficient

Fulltime

Senior Machine Learning Engineer

Reddit is a community of communities. It’s built on shared interests, passion, a...

Location

United States , Remote

Salary:

216700.00 - 303400.00 USD / Year

Expiration Date

Until further notice

Requirements

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Job Responsibility

Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Medical, dental, and vision insurance

Fulltime

Senior Machine Learning Engineer

Location

Greece , Athens

Salary:

60000.00 - 65000.00 EUR / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Proven experience designing, building, and deploying production-grade machine learning solutions
Strong Python development skills
Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers
Experience with deep learning frameworks such as PyTorch
Strong knowledge of machine learning libraries including Scikit-learn and XGBoost
Experience working with NLP frameworks such as spaCy and NLTK
Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring
Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions
Passion for staying current with emerging AI technologies and applying them to real-world business challenges
Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders

Job Responsibility

Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives
Lead the research, development, and optimisation of machine learning models for production environments
Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face
Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks
Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation
Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments
Monitor, maintain, and optimise model performance to ensure reliability and scalability in production
Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence
Mentor junior engineers and provide technical leadership across AI and machine learning initiatives
Champion best practices for model development, experimentation, deployment, and ongoing optimisation

Fulltime

Senior Machine Learning Engineer

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've ...

Location

United Kingdom , Cambridge

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field
Demonstrated production experience in applied machine learning, with PhD-level research and implementation experience considered a strong accelerator
Great coding skills and strong software development experience (we use Spark, Python, Java)
Familiarity with real-time evaluation of models with low latency constraints
Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc
Ability to work with large scale computing frameworks, data analysis systems, and modeling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB

Job Responsibility

ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality
Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models
Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy
Production operations: Low-level systems debugging, performance measurement, and optimization on large production clusters
Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions
Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs

Fulltime

Senior Machine Learning Engineer

Senior Machine Learning Engineer at Amgen. Join Amgen’s Mission of Serving Patie...

Location

United States , Thousand Oaks; Jacksonville

Salary:

156190.05 - 211315.95 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Solid foundation in machine learning algorithms and techniques
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Outstanding analytical and problem-solving skills
Ability to learn quickly
Good communication and interpersonal skills
Doctorate degree OR Master’s degree and 2 years of Computer Science experience OR Bachelor’s degree and 4 years of Computer Science experience OR Associate’s degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience
Excellent analytical and troubleshooting skills
Strong verbal and written communication skills

Job Responsibility

Collaborate with data scientists to develop, train, and evaluate machine learning models
Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency
Develop and implement monitoring systems to track model performance and identify issues
Conduct A/B testing and experimentation to optimize model performance
Work closely with data scientists, engineers, and product teams to deliver ML solutions
Stay updated with the latest trends and advancements

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Senior Machine Learning Engineer

We're looking for a Senior Machine Learning Engineer who can build large-scale s...

Location

Finland , Helsinki

Salary:

Not provided

Supercell

Expiration Date

Until further notice

Requirements

Deep expertise in Machine Learning with a strong track record of taking ML systems into production
Hands-on experience deploying ML models at large scale, operating in high-traffic, low-latency production environments
Strong software, data, and ML engineering skills, with the ability to design, build, and maintain robust end-to-end ML pipelines
Experience leveraging modern AI-assisted development tools to improve productivity and accelerate iteration speed
Proven ability to collaborate with other developers and AI agents, as well as independently drive ML projects from idea to production
Excellent problem-solving ability, with strong analytical thinking and attention to detail
Clear and effective communication skills, able to translate complex technical concepts for both technical and non-technical audiences
Positive, proactive, and 'can-do' mindset, with a willingness to dive deep and take ownership
Passion for games. Previous industry experience is a strong plus

Job Responsibility

Understand our games, players, and business goals to identify where ML can deliver meaningful impact, and build strong relationships across teams
Design and build end-to-end, real-time and event-driven ML systems from data to low-latency serving, enabling context-aware player experiences
Develop and deploy ML models and decision systems that shape personalized player experiences across the full player journey
Build scalable ML systems and reusable platform capabilities, enabling game teams to adopt ML through tools, pipelines, and APIs
Balance speed, robustness, experimentation, and standardization while continuously reducing time from idea to experiment to production
Operate, monitor, and optimize production ML systems to ensure world-class performance, reliability, and scalability
Champion modern MLOps practices through mentorship, code and design reviews, documentation, and by guiding game teams in adopting ML workflows
Shape ML strategy and ensure it drives real player and business impact
Continue to level up Supercell AI maturity through knowledge sharing and adoption of new tools

What we offer

Relocation support for you and your family
Comprehensive compensation and benefits

Fulltime

Senior Machine Learning Engineer

Roku is changing how the world watches TV. The Recommendations team drives perso...

Location

United States , San Jose

Salary:

229500.00 - 360000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

5+ years of experience building software solutions to concrete problems
Strong CS fundamentals. Should be able to write an algorithm with ease
You are fluent with one of the high-level programming languages like Java, Scala, Kotlin, or Python
We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it
MS in Computer Science or related field

Job Responsibility

Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs, etc., that serve millions of transactions per second
Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies

What we offer

health insurance
equity awards
life insurance
disability benefits
parental leave
wellness benefits
paid time off
global access to mental health and financial wellness support and resources
healthcare (medical, dental, and vision)
life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

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