Apply

Senior Machine Learning Engineer

Posted 2024-11-07

View full description

πŸ’Ž Seniority level: Senior, 5+ years ML Experience

πŸ“ Location: USA

πŸ’Έ Salary: 210000 - 260000 USD per year

πŸ” Industry: Retail, AI

🏒 Company: Wizard

πŸ—£οΈ Languages: English

⏳ Experience: 5+ years ML Experience

πŸͺ„ Skills: Node.jsPythonFlaskGCPKubernetesMachine LearningPyTorchAirflowFastAPIPandas

Requirements:
  • MS/Ph.D. in computer science, mathematics, or other quantitative disciplines, or exceptional work experience in ML engineering.
  • 5+ years of Machine Learning experience.
  • Experience developing machine learning-driven products at scale.
  • Proficient in solving problems using Machine Learning with PyTorch.
  • Exceptional understanding of designing ML systems in production at scale.
  • Practical experience with large data systems, data models, and data pipelines.
  • Ability to quickly learn the tech stack, including GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js.
  • Extensive experience with model deployment using Flask, FastAPI, or similar frameworks.
Responsibilities:
  • Build and maintain a training pipeline for fine-tuning open-source LLMs.
  • Serve and deploy LLMs on GPUs while managing configurations to prevent runtime issues.
  • Identify product issues and propose solutions rapidly.
  • Triage customer issues related to models and communicate architecture clearly.
  • Stay informed about the generative AI field and integrate new developments.
Apply

Related Jobs

Apply

πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 216700 - 303400 USD per year

πŸ” Social Media/Technology

  • 2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch.
  • 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models.
  • Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
  • Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset.
  • Prior experience with information retrieval and recommendation system.
  • Ads domain knowledge on product and ML solutions is a plus.

  • Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques.
  • Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks.
  • Drive technical roadmaps and lead day to day project execution.
  • Contribute meaningfully to team vision and strategy.
  • Work on large scale data systems, backend services, and product integration.
  • Collaborate closely with multiple stakeholders across product, engineering, research, and marketing.
  • Be a mentor and cross-functional advocate for the team.

PythonJavaMachine LearningPyTorchC++StrategyAlgorithmsGolangTensorflow

Posted 2024-11-21
Apply
Apply

πŸ“ United States

πŸ” Financial, Retail, High Tech, Healthcare, and Retail

🏒 Company: Accellor

  • Strong software engineering skills, particularly in Python
  • Experience with frameworks and tools relevant to large-scale machine learning, including Databricks, PySpark, and Airflow
  • Familiarity with LLMs, RAG, Langchain, and developing AI applications
  • Proficiency in AWS and experience deploying applications on cloud platforms
  • Solid understanding of database schema design and querying
  • Bachelor’s degree in Computer Science

  • Building, deploying, and scaling machine learning models and applications, especially in the context of Generative AI
  • Developing end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other NLP techniques
  • Working with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS to drive development
  • Collaborating closely with analytics and data teams and business stakeholders to align on requirements and objectives
  • Contributing both independently and in team settings, providing regular updates to stakeholders and delivering robust AI solutions

AWSPythonMachine LearningAirflowCommunication SkillsCollaboration

Posted 2024-11-19
Apply
Apply

πŸ“ United States

πŸ” AI in the legal field

🏒 Company: YalentπŸ‘₯ 10-50

  • 4-5 years of experience in applied machine learning or a 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.

  • Collaborate with stakeholders to identify and map business problems to ML solutions.
  • Design, develop, and implement ML models focused 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.

PythonETLGitMachine LearningData scienceCI/CD

Posted 2024-11-12
Apply
Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 180000 - 220000 USD per year

πŸ” Fintech

🏒 Company: Rocket Money

  • Excellent software engineering skills and collaborative skills.
  • Ability to deliver products incrementally.
  • Strong communication and documentation skills.
  • 3+ years of experience in data science or machine learning engineering.
  • Experience with databases, data warehouses, and backend ML systems.
  • Desire to understand business impacts and continue learning.

  • Build new, machine learning powered user-facing features in collaboration with engineering, product, and design teams.
  • Optimize continuous product feedback loops for ML products.
  • Help develop the next version of Autopilot and Budgets.
  • Uncover and exploit relationships between subscription data and customer segmentation.
  • Design experiments to estimate the impact of ML driven products.
  • Build anomaly detection systems for transaction categorization.

Machine LearningStrategyData scienceCommunication SkillsCollaboration

Posted 2024-11-07
Apply
Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 200000 - 240000 USD per year

πŸ” Healthcare, AI

  • 5+ years of industry experience in machine learning (ML) and natural language processing (NLP), including building production systems.
  • Experience with the entire lifecycle of ML production systems, including data processing, modeling, deployment, monitoring, and maintenance.
  • Ability to translate product intuition into data-driven hypotheses for impactful machine learning solutions.
  • Strong communication skills for collaborating with cross-functional teams and leading machine learning initiatives.
  • Experience or interest in mentoring junior engineers.

  • Develop and improve AI systems for patient and physician-facing product features in collaboration with product, clinical, engineering, and design teams.
  • Fine-tune large language models and develop their evaluations while addressing engineering constraints like latency and costly model inference.
  • Design offline and online evaluations to assess ML product features using data-driven analysis.
  • Facilitate scientific innovation through collaboration among clinicians, engineers, and researchers.
  • Mentor interns and junior team members, and interview talent to strengthen the ML team.

LeadershipPythonSoftware DevelopmentArtificial IntelligenceData AnalysisElasticSearchGitKerasMachine LearningNLTKNumpyCross-functional Team LeadershipAlgorithmsData analysisData scienceElasticsearchGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
Apply
Apply

πŸ“ United States, Canada

🧭 Full-Time

πŸ’Έ 216700 - 303400 USD per year

πŸ” Technology, Social Media

  • 5+ years of professional experience as a Machine Learning Engineer.
  • Experience with data-intensive systems and building production-quality software (preferably in Python or Golang).
  • Knowledge of recommendation systems, ranking algorithms, or deep learning models.
  • Strong theoretical knowledge of machine learning and statistical concepts.
  • Experience with large-scale data processing technologies.
  • Proficiency in SQL.
  • Excellent communication and teamwork skills.

  • Own projects from ideation to production.
  • Improve recommendation systems and models for personalization.
  • Train, evaluate, and deploy sophisticated machine learning models.
  • Participate in the full software development cycle.
  • Collaborate across disciplines and with other ML teams.
  • Work with large-scale data, models, pipelines, and product integration.

PythonSoftware DevelopmentSQLKafkaKubeflowMachine LearningQAStrategyAirflowAlgorithmsGolangRedis

Posted 2024-10-29
Apply
Apply

πŸ“ CA, WA, NY, NJ, CT, all other U.S. states

🧭 Full-Time

πŸ’Έ 169000 - 240000 USD per year

πŸ” Financial Technology

🏒 Company: Affirm

  • 6+ years of experience as a machine learning engineer; relevant PhD can count as up to 2 years of experience.
  • Proven experience developing machine learning models at scale from inception to business impact.
  • Proficiency in machine learning with experience in Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
  • Strong engineering skills in Python and data manipulation skills in SQL.
  • Experience with large scale distributed systems like Spark or Ray.
  • Familiarity with open source projects like scikit-learn, pandas, NumPy, XGBoost, PyTorch, and Kubeflow.
  • Experience with Kubernetes, Docker, and Airflow is a plus.
  • Excellent written and oral communication skills.

  • Use Affirm’s proprietary and third-party data to develop machine learning models that predict the likelihood of default.
  • Partner with engineering teams to build model training, decisioning, and monitoring systems.
  • Research groundbreaking solutions and develop prototypes for credit decisioning.
  • Implement and scale data pipelines, new features, and algorithms essential to production models.
  • Collaborate with cross-functional teams to define requirements for new products.

PythonSQLKubernetesMachine LearningNumpyPyTorchAirflowAlgorithmsPandasSparkCommunication Skills

Posted 2024-10-28
Apply
Apply

πŸ“ US

🧭 Full-Time

πŸ’Έ 177300 - 212800 USD per year

πŸ” Autonomous vehicle technology

🏒 Company: Torc Robotics

  • BS, MS, or PhD in computer vision, machine learning, computer science, computer engineering or related fields.
  • 5+ years of software development experience or a PhD in machine learning or related field.
  • Strong experience in Python and libraries such as Numpy, SciPy, Pandas, and Matplotlib.
  • Experience with deep learning frameworks like PyTorch or TensorFlow.
  • Expert knowledge in applied Deep Learning principles and algorithms.
  • Experience with 3D Computer Vision and rendering algorithms.
  • Track record of building and shipping products or open-source projects.

  • Shape the data for autonomous trucking by contributing to the perception simulation pipeline.
  • Apply state of the art approaches for Neural Rendering in a scalable production setting.
  • Advance modern simulation techniques with ML and computer vision.
  • Integrate neural rendering framework in a cloud environment.
  • Develop sensor models for camera, LIDAR and RADAR.

LeadershipPythonSoftware DevelopmentAgileMachine LearningNumpyPyTorchSCRUMC#C++AlgorithmsPandasTensorflow

Posted 2024-10-21
Apply
Apply

πŸ“ US

🧭 Full-Time

πŸ’Έ 140000 - 170000 USD per year

πŸ” SaaS for public relations and communications

🏒 Company: Muck Rack

  • 5+ years total professional experience building Machine Learning products within user-facing software apps.
  • Capacity for a high degree of autonomy and out-of-the-box thinking.
  • Commitment to collaborating closely with other engineers and across functions.
  • Experience with text modeling, NLP, and large language models is a plus.
  • Experience serving GPU-intensive models in large-scale production environments is desirable.

  • Work closely with data scientists, software engineers, product managers, and designers.
  • Develop Machine Learning technologies to simplify user jobs.
  • Work on major technical projects involving large data volumes.
  • Lead the building of new features.
  • Help shape engineering culture and processes.

PythonSoftware DevelopmentSQLElasticSearchGitMachine LearningNLTKNumpyAlgorithmsElasticsearchGoPandasCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailWritten communication

Posted 2024-10-21
Apply
Apply

πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 165000 - 206000 USD per year

πŸ” Music and Audio Technology

🏒 Company: Splice

  • Master's or PhD degree in Electrical Engineering, Computer Science or related discipline.
  • Proven track record in designing, training, evaluating, and deploying ML models in production.
  • 2+ years of hands-on experience with generative model architectures in audio, image, or language domains.
  • Specific experience with Latent Diffusion Models and Transformer-based architectures.
  • Proficiency in Python, C/C++, or CUDA and strong skills in ML frameworks like TensorFlow and PyTorch.
  • Experience with cloud services such as AWS, Azure, or GCP and containerization technologies like Docker and Kubernetes.
  • Familiarity with software development best practices and version control systems, e.g., Git.

  • Design, adapt, and optimize cutting-edge model architectures for generative audio/music applications.
  • Collaborate with Applied Researchers and ML Engineers to design, train, fine-tune, and deploy scalable models.
  • Explore and implement core building blocks in generative models such as VAEs, Neural Audio Codecs, GANs, and Transformers.
  • Integrate ML models into Splice’s products to enhance experiences for music creators.
  • Conduct performance benchmarking and evaluation to assess accuracy and quality of models.
  • Stay updated with advancements in machine learning and share insights with the team.
  • Document experiments and provide technical guidance to team members.

AWSDockerPythonSoftware DevelopmentArtificial IntelligenceGCPGitKubernetesMachine LearningPyTorchC++AzureTensorflowCollaboration

Posted 2024-10-20
Apply