Senior Machine Learning Engineer

Posted about 23 hours agoViewed

View full description

💎 Seniority level: Senior, 6+ years

📍 Location: United States

💸 Salary: 180000.0 - 235000.0 USD per year

🔍 Industry: Fintech

🏢 Company: Found

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: AWSPythonSQLMachine LearningAlgorithmsData engineeringData scienceCommunication SkillsCollaborationMentoring

Requirements:

6+ years in Data Science or Machine Learning
Expertise with Python/R and SQL.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Proven track record of developing and deploying successful machine learning models in a production environment.

Responsibilities:

Design, develop, and deploy machine learning models to identify fraudulent activity, unlock things like higher limits for good users, and decision on transactions.
Collaborate with cross-functional teams, including product and engineering, to identify new opportunities to solve business problems through data science & ML.
Communicate complex machine learning concepts and results to both technical and non-technical stakeholders.
Research novel techniques and best practices to parse large, diverse data sets.
Contribute to the development of best practices, standards, and frameworks for machine learning at Found.
Provide mentorship and guidance to help grow and develop the skills of the broader data team, fostering a culture of continuous learning and excellence.

Apply

Related Jobs

Apply

🔥 Senior Machine Learning Engineer

Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 133000.0 - 151000.0 USD per year

🔍 Software Development

🏢 Company: Infinite Reality👥 101-250💰 $350,000,000 8 months agoMedia and Entertainment Web3 Metaverse

🔧 Requirements

MS or PhD in Computer Science, Machine Learning, or a related field.
6+ years in machine learning, focusing on systems for procedural content generation and working with LLMs to create scalable virtual environments.
Proficient in 3D graphics programming and procedural content generation, handling assets like models, textures, shaders, and particle systems.
Experience in both frontend (React, Three.js, WebGL) and backend (Node.js, MySQL) development, enabling seamless integration of AI-driven procedural generation into interactive 3D worlds.
Ability to optimize complex systems for performance and scalability, ensuring AI-powered world-building systems perform seamlessly with large datasets.
Skilled in scripting languages such as Python, Bash, or JavaScript, enabling automation of key tasks and workflows in the world-building process.
Experience working in cross-disciplinary teams, mentoring, and leading by example to promote best practices in world-building, procedural generation, and AI integration.
Strong analytical skills to tackle complex technical challenges in 3D graphics, procedural content generation, or system performance.
Commitment to continuous learning and integrating the latest developments in AI, machine learning, 3D graphics, and procedural generation into the team's work.

💡 Responsibilities

Develop systems utilizing LLMs to autonomously create 3D environments, handling assets like models, shaders, and particle systems.
Collaborate with technical artists and engineers to build pipelines ensuring seamless integration of diverse 3D assets into the procedural generation process.
Ensure world-building systems are scalable and performant, capable of handling large datasets and multiple interactions while maintaining high-quality environments.
Work with engineers, data scientists, technical artists, and designers to implement innovative solutions for dynamic virtual worlds, ensuring technical integration across teams.
Lead the adoption of emerging technologies in generative AI and procedural content creation, integrating the latest advancements into our platform.
Address complex technical challenges related to performance, AI systems, asset rendering, and procedural generation pipelines to ensure efficient world-building processes.

AWSBackend DevelopmentNode.jsPythonCloud ComputingFrontend DevelopmentGCPMachine LearningMySQLReact.jsUnity3DAlgorithmsAzureBlenderData scienceUnreal engineProblem SolvingScripting

Posted about 6 hours ago

Apply

🔥 Senior Machine Learning Engineer

Posted 2 days ago

📍 USA

🧭 Full-Time

🔍 Audit and advisory

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

4-5 years of experience in applied machine learning or related field
Strong proficiency in Python and its ML/data science libraries
Extensive experience with NLP techniques and generative AI technologies
Experience with LLMs and both text-to-text and text-to-image generative models
Proficiency in working with large datasets and creating ETL processes
Experience with version control systems (e.g., Git) and CI/CD practices
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Collaborate with stakeholders to identify and map business problems to ML solutions
Design, develop, and implement ML models with a focus on NLP and generative AI applications
Curate, clean, and prepare data for model development and training
Create and maintain ETL jobs for data processing
Conduct rapid prototyping of ML solutions to quickly iterate on ideas
Stay current with the latest advancements in ML, particularly in NLP and generative AI
Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
Implement data flywheels to continuously improve ML features through increased usage
Define and implement ML performance metrics
Contribute to the product roadmap with ML-driven feature ideas
Be an essential technical contributor at a Series B-stage company as it scales

AWSPythonSQLETLGitMachine LearningNumpyData sciencePandasTensorflowCI/CDA/B testing

Posted 2 days ago

Apply

🔥 Senior Machine Learning Engineer

Posted 7 days ago

📍 United States

🔍 Advertising Software

🏢 Company: MNTN👥 251-500💰 $2,000,000 Seed about 2 years agoAdvertising Real Time Marketing Software

🔧 Requirements

5+ years of experience of real-world problem solving related to developing and using machine learning models on large scale data.
Experience in SQL, Python, Spark, R, or similar languages.
Experience in machine learning libraries and platforms such as scikit-learn, tensorflow, sagemaker, or similar.
Written and verbal communication skills to convey complex technical topics to a variety of audiences.

💡 Responsibilities

Use MNTN proprietary and third party data sources to conceive and lead machine learning projects that maximize goals for advertising marketers while protecting consumer privacy.
Be a hands-on builder of needed components in software and infrastructure.
Become the end to end expert on matching ad opportunities to potential audiences in an ambiguous and privacy-focused ecosphere.
Identify opportunities and gaps in data and insights for both internal and external stakeholders.
Work with product and engineering teams to create and evaluate your model designs.
Lead discussions with other technical and non-technical functions.
Investigate critical incidents and provide insights to data ambiguity.

PythonSQLData AnalysisMachine LearningAlgorithmsData StructuresSparkTensorflowData modeling

Posted 7 days ago

Apply

🔥 Senior Machine Learning Engineer - Fraud

Posted 10 days ago

📍 Africa, Europe, Americas

🧭 Permanent

🔍 FinCrime

🏢 Company: Zepz👥 1001-5000💰 $267,000,000 Series F 5 months ago🫂 Last layoff over 1 year agoMobile Payments Financial Services Payments FinTech

🔧 Requirements

4+ years of professional experience training and deploying models that deliver measurable value (regression, clustering, decision trees, cost-sensitive Machine Learning etc with an emphasis on gradient boosting-based methods).
You have strong SQL skills, confidently able to pull and manipulate data to get into the desired format for modelling (CTEs, joins, case statements, subqueries)
Possess strong Python skills, able to automate processes and deploy applications. you are able to deploy your stuff and be able to set up at least basic monitoring.
Familiar with building and deploying web applications using Python web frameworks.
Experience in one or more of the following areas:
Machine Learning (Scikit Learn, XGBoost, H2O etc...)
SQL Analytics (BigQuery, Redshift, Databricks, Athena, etc)
Visualisation Tools (Mode, matlibplot, seaborn, streamlit Looker, Tableau, Periscope, etc)

💡 Responsibilities

Modernization our FinCrime Machine Learning Pipeline
Evaluate and integrate new data sources for our algorithms, aligning with Data Engineering and Analytical Engineers' best practices for dbt
In collaboration with Data Scientist, automate the training and deployment of updated models, ensuring the output is tested, scalable and documented and checks are in place to identify drift.
Help build experiments framework to evaluate new models, third-party data sources and tooling.
Translate commercial requirements into technical solutions, converting real-world problems into solvable data science projects, resulting in insights that further the strategy and enable visibility into key results
Improving existing models through greater scrutiny of the methodology and improving the input data
Develop strategies and tools to help less technical individuals understand and use the models and results.

AWSDockerPythonSQLKubernetesMachine LearningNumpyAlgorithmsData scienceData StructuresRegression testingPandasCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsDevOpsData visualizationData modeling

Posted 10 days ago

Apply

🔥 Senior Machine Learning Engineer

Posted 18 days ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, WA

🧭 Full-Time

💸 155000.0 - 220000.0 USD per year

🔍 Mobile Industry

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

5+ years of industry experience applying Machine Learning (including neural networks) to large scale problems.
Experience with Recommendation Systems
Hands on experience with deep neural networks in production at scale.
Solid engineering and coding skills.
Track record of well-developed execution and timely delivery of projects.
Sets ego aside in pursuit of finding the best solution, no matter where it comes from.
B.S. or higher in Machine Learning, Math, Physics or similar. PhD a plus.

💡 Responsibilities

Develop and maintain machine learning models that are integral to our production decision-making system and directly influencing business outcomes.
Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)
Monitor the latest ML research for functional ideas that the team could try.
Optimize ML Pipelines – Build and scale efficient pipelines for real-time and batch processing.
Model Monitoring & Improvement – Track performance, detect drift, and automate retraining.
Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
Collaborate with a team of world-class engineers with diverse backgrounds.
Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review.

AWSDockerPythonSQLApache AirflowData AnalysisETLKubernetesMachine LearningMLFlowPyTorchAlgorithmsData engineeringData StructuresREST APISparkTensorflowCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem Solving

Posted 18 days ago

Apply

🔥 Senior Machine Learning Engineer

Posted 18 days ago

📍 US

🧭 Full-Time

💸 180000.0 - 210000.0 USD per year

🔍 Adtech

🏢 Company: tvScientific👥 11-50💰 $9,400,000 Convertible Note about 1 year agoInternet Advertising

🔧 Requirements

Proficiency in writing and reviewing production-level Python code.
Deep understanding of statistics and its application in machine learning.
Strong communication and writing skills.
Desire to excel in a fast-paced Series B startup environment, embracing uncertainty and driving innovation through experimentation and iteration.

💡 Responsibilities

Lead the design, prototyping, building, and maintenance of an RL-based bidding agent at tvScientific.
Drive improvements in the speed and scalability of tvScientific's ML inference.
Write and review production-level Python code to ensure quality and efficiency.
Collaborate effectively within a talented team, providing expertise and guidance.

PythonData AnalysisMachine LearningAlgorithmsData scienceREST APIA/B testing

Posted 18 days ago

Apply

🔥 Senior Machine Learning Engineer

Posted 23 days ago

📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

🏢 Company: phData👥 501-1000💰 $2,499,997 Seed about 7 years agoInformation Services Analytics Information Technology

🔧 Requirements

At least 4 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
4-year Bachelor's degree in Computer Engineering or a related field
Experience deploying data science models in a production setting
Expertise in Python, Scala, Java, or another modern programming language
The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.
Experience with Docker, Kubernetes, or some other containerization technology
Familiarity with multiple data source systems (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), storage systems (e.g., AWS, Databricks, Cloudera)
Production experience in core data technologies (e.g. Spark, Pandas)
Development of APIs and web server applications (e.g. Flask, Django, Spring)

💡 Responsibilities

Design and create environments for data scientists to build models and manipulate data
Work within customer systems to extract data and place it within an analytical environment
Learn and understand customer technology environments and systems
Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
Ensure the quality of the delivered product

AWSDockerPythonSQLCloud ComputingDjangoETLFlaskGCPJavaKerasKubernetesMachine LearningSnowflakeAPI testingAzureData engineeringData scienceREST APISparkTensorflowCommunication SkillsAnalytical SkillsCI/CDProblem SolvingScalaData visualizationData modelingData analyticsData management

Posted 23 days ago

Apply

🔥 Senior Machine Learning Engineer (Portfolio ML)

Posted about 1 month ago

📍 United States

💸 169000.0 - 240000.0 USD per year

🔍 Software Development

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff about 2 years agoLending Financial Services Payments FinTech

🔧 Requirements

Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk, portfolio management, learning to rank, and personalization is a plus
Strong engineering skills in Python and data manipulation skills like SQL
Experience using distributed systems like Spark or Ray is a plus
Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
The ability to present technical concepts and results in an audience-appropriate way
Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!

💡 Responsibilities

Use Affirm’s proprietary and other third party data to develop machine learning models that manage and optimize the flow of loan opportunities across Affirm-owned and -operated properties
Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
Research ground breaking solutions and develop prototypes that drive the future of portfolio decisioning at Affirm
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
Collaborate with the engineering, credit, and product teams to define requirements for new products

PythonSQLKubeflowMachine LearningNumpyAlgorithmsPandasSparkCommunication SkillsAnalytical Skills

Posted about 1 month ago

Apply

🔥 Senior Machine Learning Engineer, Edge AI

Posted about 1 month ago

📍 United States, Canada

🧭 Full-Time

💸 135482.0 - 227700.0 USD per year

🔍 Internet of Things (IoT), Machine Learning

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

BS or MS in Computer Science, Electrical Engineering, or a related field with a focus on ML or embedded systems.
5+ years of experience in embedded machine learning or a similar role.
4+ years of experience in deploying machine learning models in embedded systems.
Proficiency in embedded systems programming, including low-level optimization for inference workloads.
Strong coding skills in C++, Golang, or Python, with experience optimizing ML models for deployment on edge hardware.
Hands-on experience with ML frameworks like PyTorch, TensorFlow, ONNX, and optimization techniques for edge AI (e.g., quantization, pruning, sparsification).
Experience in computer vision and media processing on edge/mobile devices, including real-time object detection, tracking, and scene analysis.
Proven ability to troubleshoot and debug edge AI systems, including profiling inference performance, reducing latency, and optimizing power efficiency.

💡 Responsibilities

Develop and deploy AI models on edge devices by working with petabyte-scale data from Samsara’s camera and sensor devices.
Optimize ML models for real-time inference on edge devices by implementing quantization, sparsification, pruning, and model distillation techniques.
Collaborate with firmware and hardware teams to integrate ML models into resource-constrained environments, ensuring efficient execution.
Improve edge AI performance by profiling and optimizing latency, memory usage, and energy efficiency across different hardware architectures (CPU, GPU, DSP, NPU).
Stay up to date with the latest research in computer vision, deep learning, and embedded AI, applying relevant advancements to Samsara’s products.
Work closely with Product Managers to translate customer requirements into scalable and efficient ML solutions for real-time video analytics and sensor processing.
Debug and troubleshoot edge AI deployments, addressing performance bottlenecks, thermal constraints, and reliability issues in production environments.
Champion Samsara’s cultural principles, fostering a collaborative and growth-oriented team environment.

PythonEmbedded SystemsMachine LearningOpenCVPyTorchC++Tensorflow

Posted about 1 month ago

Apply

🔥 Senior Machine Learning Engineer

Posted about 2 months ago

📍 Worldwide

🧭 Full-Time

🔍 Software Development

🏢 Company: Zencoder

🔧 Requirements

5+ years of experience in the ML/AI field.
Deep understanding of machine learning, including experience with some fields of classical ML (recommendation systems, regressions/classifications on tabular data, and time series or other areas of classical ML).
Deep understanding of modern NLP: different providers strengths and weaknesses, best OS models, SOTA ways to finetune, quantize and distill models.
Experience with fine-tuning using RLHF or DPO.
Ability to set up data collection pipelines.
Proficiency in Python.
Ability to explain complex AI concepts and architectures clearly.
Deep understanding and experience of enterprise software development processes, ability to formalize typical SDLC tasks with all nuances.
Strong analytical and problem-solving abilities, with a knack for troubleshooting and debugging complex issues.
Proven ability to work effectively in a collaborative team environment, with excellent communication skills and a commitment to delivering high-quality solutions on time.
Eagerness to learn and adapt to new technologies and methodologies, with a passion for continuous improvement and innovation.
Ability to work in dynamic, fast-changing environments or experience in start-ups.
Prior experience in creating developer tools loved by their users would be highly advantageous, especially for VS and JetBrains add-ins.
Experience with RAG and multi-agent pipelines is a plus.

💡 Responsibilities

Create embedded AI agents pipelines; design, train, and implement advanced AI models focusing on LLMs, LMMs, and RL.
Collaborate with the AI and SWE teams to conceptualize, design, and build a code-generation add-in that empowers developers to automate repetitive tasks and boost productivity.
Conduct thorough testing of developed solutions, identify and address any bugs or performance issues, and optimize code for efficiency and scalability.
Stay updated with the latest trends and advancements in full-stack development, DevOps practices, and AI technologies to drive innovation and maintain competitiveness.
Influence how software development will be done in the whole industry.

PythonGitMachine LearningREST APICI/CDDevOpsSoftware Engineering

Posted about 2 months ago

Apply