Machine Learning Engineer
EvenUp
Posted: 10/21/2026AWSCloudDockerETLGoogle Cloud PlatformKubernetesPythonPyTorchSQL+1 more
Senior Cyber Threat Defense AI/ML Engineer
Bank of America
Posted: 10/21/2026AzureCloudCyber SecurityPythonPyTorchScikit-Learn
Senior Cyber Threat Defense AI/ML Engineer
Bank of America
Posted: 10/21/2026AzureCloudCyber SecurityPythonPyTorchScikit-Learn
Machine Learning Ops Engineer
PAR Technology
Posted: 10/21/2026AirflowAmazon RedshiftAWSGraphQLPandasPySparkPythonScikit-LearnSpark
Principal AI Machine Learning Developer
SAIC
Posted: 10/21/2026AirflowApacheAWSAzureCloudPythonPyTorchTensorflowTypeScript
Senior Software Engineer, GPU Code Generation, Machine Learning Inference
NVIDIA
Posted: 10/21/2026PythonPyTorchC++
Senior AI/ML Engineer
CACI International Inc
Posted: 10/21/2026AWSCloudDockerEC2KubernetesLinuxNumpyPythonPyTorch+1 more
Senior AI/ML Engineer
General Motors
Posted: 10/21/2026PythonPyTorch
Senior Technical Trainer – Machine Learning
OnHires
Posted: 10/21/2026AWSAzureCloudGoogle Cloud PlatformPyTorchScikit-LearnTensorflow
Machine Learning Expert
Mercor
Posted: 10/21/2026PyTorch
Machine Learning Engineer, Ranking & Retrieval, Machine Learning, Artificial Intelligence
Parallel Partners
Posted: 10/21/2026PythonPyTorch
Machine Learning Engineer
Chooch AI
Posted: 10/21/2026AWSAzureCloudDockerLinuxPythonPyTorchTensorflow
Senior ML Engineer
Truemed
Posted: 10/21/2026Python
AI/ML Engineer
Global Brain Corporation
Posted: 10/21/2026PyTorchSpringTensorflow
Machine Learning Engineer
HMH
Posted: 10/21/2026AWSPythonSQLTerraform
Lead Machine Learning Scientist
Dave
Posted: 10/20/2026CloudPythonPyTorchSparkSQLTensorflow
Mid-Level AI & Machine Learning Engineer
Fieldwire by Hilti
Posted: 10/20/2026AngularRubyRuby on RailsRust
Software/ML Engineer – Top-Secret
IT Coalition
Posted: 10/20/2026AzureCloudDistributed SystemsDockerMicroservicesPythonRedisTypeScript
Software/ML Engineer – Top-Secret
IT Coalition
Posted: 10/20/2026AzureCloudDistributed SystemsDockerMicroservicesPythonRedisTypeScript
Software/ML Engineer – Top-Secret
IT Coalition
Posted: 10/20/2026AzureCloudDistributed SystemsDockerMicroservicesPythonRedisTypeScript
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying machine learning models, particularly in NLP and generative AI, while effectively collaborating with cross-functional teams to translate complex problems into actionable solutions. Proficient in Python and familiar with cloud platforms, data engineering concepts, and experiment-tracking tools.
Highest-signal resume keywords
Machine Learning FundamentalsNatural Language Processing TechniquesPython ProficiencyCloud Platforms (AWS, GCP)Experiment-Tracking Tools (Weights & Biases, MLflow)
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop and deploy models powering Piai™, EvenUp's proprietary claims-intelligence platform
- Explore, implement, and benchmark machine learning, NLP, and generative AI methods, including LLM fine-tuning, retrieval-augmented generation, and document understanding
- Clean, annotate, and transform structured and unstructured case data
- Build reusable datasets and data loaders
- Design experiments, run A/B tests, analyze results, and communicate findings to product and engineering teams
- Help integrate models into production systems, partnering with ML platform engineers on testing, monitoring, and scaling
- Pair with product managers, legal analysts, and software engineers to translate real problems into ML solutions and measurable improvements
- Stay current with research in LLMs, representation learning, and prompt engineering, and share findings with the team
Requirements
What you’ll need- B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a related field
- Solid grounding in ML fundamentals, including supervised and unsupervised learning, evaluation metrics, overfitting, and regularization
- Hands-on experience with NLP or generative AI techniques, including transformers, embeddings, sequence-to-sequence models, or LLMs
- Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, or spaCy
- Familiarity with SQL and basic data engineering concepts, including ETL, versioned datasets, and notebooks
- Strong analytical thinking, clear communication, and eagerness to learn and iterate quickly in a fast-moving startup
- Ability to work hybrid 3 days per week in the San Francisco or Toronto office
- Exposure to cloud platforms such as AWS or GCP
- Experience with experiment-tracking tools such as Weights & Biases, Gemini Enterprise Agent Platform, or MLflow
- Familiarity with containerized deployment using Docker or Kubernetes
- Experience in a high-growth startup environment
Benefits
Comp & perks- Choice of medical, dental, and vision insurance plans for you and your family
- Additional insurance coverage options for life, accident, or critical illness
- Flexible paid time off
- Sick leave
- Short-term and long-term disability
- 10 US observed holidays
- Canadian statutory holidays by province
- A home office stipend
- 401(k) for US-based employees
- RRSP for Canada-based employees
- Paid parental leave
- A local in-person meet-up program
- Equity
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningNatural Language ProcessingGenerative AITransformersEmbeddingsSupervised LearningUnsupervised LearningEvaluation MetricsData EngineeringA/B Testing
Soft Skills
Analytical ThinkingClear CommunicationEagerness to LearnAdaptability
Tools & Technologies
PythonPyTorchTensorFlowHugging FaceSpaCySQLDockerKubernetesWeights & BiasesMLflow
Industry Keywords
Claims-IntelligenceHigh-Growth StartupHybrid Work EnvironmentDocument UnderstandingRetrieval-Augmented Generation