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Offline Online Jobs (NOW HIRING)

Senior Software Engineer, ML Platform

$125K - $165K/yr

Design offline/online feature definitions, high read/write throughput, and consistent offline/online semantics. • Platform reliability and observability. Instrument training/inference for latency ...

Perform initial dry runs to ensure offline/online CMM programs operate safely and efficiently without probe collisions. Dimensional Inspection & Data Analysis: * Execute First Article Inspections ...

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Offline Online information

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$11K

$80.1K

$138K

How much do offline online jobs pay per year?

As of Aug 12, 2026, the average yearly pay for offline online in the United States is $80,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $111,500.00 per year, depending on experience, location, and employer.

How do offline online coordinators balance in-person and digital responsibilities to ensure seamless operations?

Professionals in an Offline Online Coordinator role are tasked with integrating both physical and digital workflows to support business objectives. This often involves coordinating in-person events or promotions while simultaneously managing online campaigns, requiring effective time management and strong communication skills. The role frequently collaborates with marketing, sales, and IT teams to align strategies and ensure consistent messaging across all channels. Successfully balancing these aspects demands adaptability, familiarity with digital tools, and the ability to troubleshoot challenges that arise in both offline and online environments.

What is the difference between Offline Online vs Customer Service Representative?

AspectOfflineOnline
Work EnvironmentPhysical locations, face-to-face interactionsDigital platforms, virtual interactions
Required CredentialsBasic communication skills, sometimes certifications in customer serviceSame as Offline, often with additional familiarity with online tools
Industry UsageRetail stores, call centers, in-person supportWebsites, social media, chat support

Offline and Online customer service roles share similar skills and credentials but differ mainly in work environment and interaction mode. Offline roles involve face-to-face contact in physical locations, while Online roles utilize digital platforms for virtual support. Both are essential in the customer service industry, catering to different customer preferences and business needs.

What are the key skills and qualifications needed to thrive as an offline online specialist?

To thrive as an Offline Online specialist (such as a digital marketing or hybrid event coordinator), you generally need expertise in both online and offline marketing strategies, supported by a relevant degree or experience in marketing or communications. Familiarity with marketing automation tools, CRM platforms, and event management software is typically required. Strong organizational skills, creativity, and effective communication help you connect audiences and manage multiple campaigns or events seamlessly. These combined skills ensure successful integration of digital and physical initiatives, maximizing outreach and engagement.

What is an offline online?

Offline Online jobs refer to positions that incorporate both in-person (offline) and virtual (online) work responsibilities. These roles may require employees to split their time between physical locations, such as offices or stores, and remote work using digital tools or platforms. Examples include hybrid customer service roles, sales positions, or educational jobs that blend face-to-face and online interactions. This approach offers flexibility and can help organizations reach a broader audience while maintaining personal connections. The exact nature of these jobs can vary widely depending on the industry and company.
What cities are hiring for Offline Online jobs? Cities with the most Offline Online job openings:
What are the most commonly searched types of Offline jobs? The most popular types of Offline jobs are:
What states have the most Offline Online jobs? States with the most job openings for Offline Online jobs include:
Infographic showing various Offline Online job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 62% Full Time, 34% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $80,123 per year, or $38.5 per hour.

Senior Software Engineer, ML Platform

Parafin

Remote

$125K - $165K/yr

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Parafin is on a mission to grow small businesses by providing them with the financial tools they need. The Senior Software Engineer will lead the development of the ML Platform, focusing on building reliable and scalable systems for model experimentation and deployment, while collaborating closely with Data Science and Platform Engineering teams.
Responsibilities:
• Turn notebooks into software. Decompose data scientist training/inference notebooks into reusable, tested components (libraries, pipelines, templates) with clear interfaces and documentation.
• Create developer-friendly ML abstractions. Build SDKs, CLIs, and templates that make it simple to define features, train/evaluate models, and deploy to batch or real-time targets with minimal boilerplate.
• Build our real-time ML inference platform. Stand up and scale low-latency model serving.
• Expand batch ML inference. Improve scheduling, parallelism, cost controls, observability, and failure/rollback for large-scale batch scoring and post-processing.
• Own and expand the feature store. Design offline/online feature definitions, high read/write throughput, and consistent offline/online semantics.
• Platform reliability and observability. Instrument training/inference for latency, throughput, accuracy, drift, data quality, and cost; build alerting and dashboards; drive incident response and postmortems.
• Underwriting infrastructure partnership. Support production batch and real-time underwriting systems in collaboration with Data Science; collaborate on model interfaces, SLAs, safety checks, and product integrations.
Qualifications:
Required:
• 5+ years of software engineering experience, including experience on ML platform/MLOps systems (training, deployment, and/or feature pipelines).
• Strong Python; solid software design and testing fundamentals.
• Proficiency with SQL; hands-on Spark/PySpark experience.
• Knowledge of ML fundamentals—probability & statistics, supervised vs. unsupervised learning, bias/variance & regularization, feature engineering, model evaluation metrics, validation strategies, and production concerns like drift, stability, and monitoring.
• Expertise with modern data/ML stacks—AWS, Databricks (workflows, lakehouse, MLflow/registry, Model Serving), and Airflow (or equivalent orchestration).
• Experience building real-time systems (service design, caching, rate limiting, backpressure) and batch pipelines at scale.
• Practical knowledge of feature-store concepts (offline/online stores, backfills, point-in-time correctness), model registries, experiment tracking, and evaluation frameworks.
• Strong problem-solving skills and a proactive attitude toward ownership and platform health.
• Excellent communication and collaboration skills, especially in cross-functional settings.
Preferred:
• Databricks experience (MLflow, Model Serving).
• Experience with feature stores (e.g., Tecton, Feast) and streaming (Kafka/Kinesis).
• Experience with fintech, risk, or underwriting systems; familiarity with model safety checks, rejection/override flows, and auditability.
• Background with A/B testing platforms, shadow/canary deployments, and automated rollback.
• Experience with low-latency inference systems.
Company:
Parafin is a financial infrastructure company that offers pre-built financial services programs to support small businesses. Founded in 2020, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.