Machine Learning Assistant Job at Brighter AI (Berlin)

Senior Machine Learning Engineer, Search Assistant

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

United States , San Jose

Salary:

361300.00 - 510000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

8+ years of industry experience (or PhD with 5+ years) applying ML at scale in search, recommendation, ads, personalization, or related domains
Strong expertise in ranking systems, recommendation systems, retrieval, personalization, and multi-objective optimization
Experience building large-scale ML systems leveraging deep learning, sequence models, LLMs, reinforcement learning, or bandit frameworks
Strong product intuition and experience optimizing user engagement, retention, and monetization simultaneously
Proficiency in Python, Java, or Scala
Experience with distributed systems and ML infrastructure such as Spark, Airflow, streaming systems, feature stores, and cloud platforms
Strong technical leadership, system design, communication, and problem-solving skills
MS or PhD in Computer Science, Statistics, or a related field

Job Responsibility

Lead the technical vision and roadmap for ranking, personalization, and recommendation systems powering Roku’s entertainment assistant
Develop and deploy state-of-the-art ML models using deep learning, transformers, LLMs, bandits, reinforcement learning, and causal inference techniques
Build multi-objective optimization systems balancing engagement, retention, relevance, and monetization goals
Drive innovation in conversational discovery, contextual recommendations, and personalized content experiences across the platform
Design, run, and analyze online A/B experiments tied to key product and business KPIs
Architect scalable ML systems, feature platforms, and data pipelines supporting rapid experimentation and long-term growth
Mentor engineers and provide technical leadership across cross-functional initiatives involving engineering, product, UX, and analytics teams

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

Staff Machine Learning Engineer, Underwriting and Credit

Block has provided over $200 billion in credit to customers globally. Afterpay a...

Location

United States , Bay Area

Salary:

276800.00 - 415200.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

A Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science). Advanced degrees welcome.
10+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains.
Experience with probabilistic models and decision systems, including calibration, score transformations, and interpretation of model outputs.
Strong experimentation skills: you know how to design holdouts, measure lift, and evaluate models beyond aggregate metrics.
Experience with model monitoring, degradation detection, and retraining strategies in production systems.
Proficiency with AI-native development workflows. You use LLMs, agentic coding tools, and AI-assisted automation as a regular part of how you build and ship.
Experience explaining modeling concepts, results, and limitations to senior stakeholders and cross-functional partners.
Experience working across disciplines in environments with meaningful constraints.

Job Responsibility

Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay.
Design and evolve credit decision frameworks, including the modeling, automation, and policy logic that manage credit exposure over time.
Design and run experiments to evaluate model performance, measure impact on approval rates and loss, and inform credit policy decisions.
Develop deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic.
Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders.
Work across the full modeling lifecycle: problem formulation, feature engineering, training, calibration, deployment, monitoring, and iteration in production.
Build agentic engineering workflows that accelerate development, testing, and documentation.
Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure credit systems reflect business goals and regulatory expectations.
Share modeling context and approaches across teams, helping align how credit risk is measured, interpreted, and discussed.
Shape how AI developer tooling is adopted across the team, defining review practices, quality standards, and governance patterns.

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Research Scientist, Machine Learning

Meta is seeking a Research Scientist to join its AI research organization, focus...

Location

France , Paris

Salary:

Not provided

New

Machine Learning Platform Engineer I

We are looking for a Machine Learning Platform Engineer to join Mollie's Machine...

Location

Portugal , Lisbon

Salary:

Not provided

Mollie

Expiration Date

Until further notice

Requirements

1+ year of experience deploying and maintaining ML models in production
Good understanding of MLOps principles, including experiment tracking, reproducibility, pipeline automation, model versioning, and monitoring in production
Strong hands-on Python programming skills, with proficiency across common ML and data libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, and MLflow
Familiarity with a major cloud platform, preferably GCP
Experience with containerization (Docker), with preferred familiarity in container orchestration tools such as Kubernetes and Kubeflow
Strong context-switching ability with sharp attention to detail
Preferably familiarity with infrastructure-as-code (IaC) tools such as Terraform
Experience building and maintaining CI/CD pipelines for ML workflows

Job Responsibility

Collaborate closely with ML Platform Engineers, Machine Learning Scientists, and engineers across Mollie's domain teams to deliver scalable Machine Learning solutions
Deploy and operationalize ML models to production in partnership with Machine Learning Scientists
Enhance and maintain our cloud-based ML Platform on GCP, writing production-grade Python and Terraform daily
Build and maintain CI/CD pipelines for ML model training and inference
Deploy, manage, and scale model serving endpoints on Kubernetes
Assist in extending, developing, and hosting custom and open-source AI tooling
Champion MLOps best practices
Ensure platform reliability by setting up observability, monitoring, and alerting
Maintain and enhance open-source AI tooling hosted at Mollie

What we offer

Noise cancelling headphones
MacBook
Birthday off
Complimentary baby days
20 days working from abroad
22 holiday days
Commute allowance
Work from home budget
Bike lease plan
Internet allowance

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

Assistant Machine Build

The Machine Builder Assistant supports the assembly of equipment by partnering c...

Location

United States , Ogden

Salary:

Not provided

JR Automation

Expiration Date

Until further notice

Requirements

Basic computer skills
Basic proficiency reading part and assembly drawings preferred
Proven mechanical aptitude with a focus on safety and quality
Proven ability to accept direction and complete tasks as assigned while working as part of a team or individually
Ability to maintain a steady pace while bending, kneeling, climbing ladders, and climbing onto and beneath machines
Ability to lift up to 50 lbs. as required
Ability to obtain a Hi-Lo (Forklift), Aerial Platform and Overhead Crane license, along with Lock Out Tag Out training, while employed at JR
Travel at least 20% of the time may be required

Job Responsibility

Assist Machine Builder(s) with the assembly of equipment
Ensure that changes and problems get documented and communicated
Carry out assigned tasks with minimum direct supervision
Assist the Machine Builder(s) with the execution of ISO\Quality standards
Communicate with the Machine Builder(s) on open issues and progress during the build process
Assist the Machine Builder(s) with the successful execution of assigned programs as they relate to cost, quality, timing and customer satisfaction
Maintain cleanliness and organization of assigned work area
Assist with preparing material for secondary processes (material finishing, heat treat, and deburring)
Learn to effectively and safely operate: Mill, Drill Press, Sanders, Saws

What we offer

Competitive wages
medical benefits starting your first day
paid parental leave
Opportunity to work on customized, 1-of-1 automation projects
A collaborative, engineering-driven environment
Career growth and skill development opportunities
A role where craftsmanship and quality truly matter
Work with cutting edge and innovative technologies

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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Software Machine Learning Engineer

As a Machine Learning Engineer, you will design, develop, and deploy applied AI ...

Location

United States , North Reading

Salary:

116500.00 - 186400.00 USD / Year

Teradyne

Expiration Date

Until further notice

Requirements

2+ years of experience in machine learning, applied AI, or related fields
Hands-on experience building and deploying ML models
Exposure to production ML systems (MLOps, monitoring, deployment) is desirable
Ability to work collaboratively across teams
Strong analytical and problem-solving skills
Basic understanding of software engineering practices and version control
Ability to work cross-functionally with product, software, and hardware teams
Strong communication skills
comfortable engaging directly with customers and stakeholders
Strong problem-solving and reasoning skills

Job Responsibility

Design and implement pipelines for training, evaluation, and deployment of ML models
Apply graph ML methods to model relationships in structured and unstructured data
Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks
Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems
Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems
Assist in defining evaluation metrics and validation strategies for ML models
Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions
Contribute to improving ML infrastructure, tooling, and best practices

What we offer

Medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more

Fulltime

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Machine Learning Assistant

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