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Remote Developer Jobs

470 jobs found

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All (470) 🌍 Worldwide (172) 🇺🇸 US (281) 📍 Location-specific (17)

14d ago

FACS Cache Developer

Transworld Systems, Inc. Atlanta, GA 🇺🇸 Remote

Atlanta, GA

14d ago

$90k - $110k/yr Full time Backend Developer APIs Database

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Job Description

Transworld Systems, Inc. is hiring a Remote Cache Developer to support the Finvi FACS platform using InterSystems Caché technologies. You will design, build, enhance, and support custom application functionality, APIs, automation, and production-ready improvements, following established development standards across the software development lifecycle.

What you’ll do

Design, develop, test, and maintain InterSystems Caché ObjectScript applications supporting the Finvi FACS platform.
Develop and maintain Caché macro routines, Caché Server Pages (CSP), and Caché Classes.
Create API interfaces and web functionality using CSP and related web technologies.
Build PowerShell scripts to automate operational processes using ActiveBatch.
Analyze and troubleshoot production issues by reviewing and debugging FACS code.
Work with and maintain FACS Tactics, Logic Blocks, Enable formats, Letters, System Options, Client Options, and Night Jobs.
Participate in code reviews to support quality, maintainability, and adherence to development standards.
Perform unit testing, support user acceptance testing, and validate production deployments.
Promote code across development, test, and production environments using established change management procedures.
Prepare and maintain technical documentation for enhancements and system changes.
Provide production support and collaborate with business and IT teams to resolve issues and implement enhancements.
Mentor junior developers and share technical knowledge with team members.

What you bring

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent combination of education and experience.
3+ years of application development experience.
Experience with InterSystems Caché ObjectScript, including macro routines, CSP, and Caché Classes.
Knowledge of HTML, CSS, JSON, and PowerShell scripting.
Understanding of the Finvi FACS database structure and application functionality.
Experience with SDLC processes, testing, deployment, and change management.
Strong analytical, troubleshooting, organizational, and communication skills.

Benefits

Comprehensive benefits package including medical, dental, and vision
401(k) retirement plan with employer matching
Paid time off
Paid holidays

Nice to have

Experience with Finvi FACS in the accounts receivable or collections industry.
Experience with ActiveBatch or enterprise job schedulers.
Experience developing RESTful integrations and APIs.
Experience with source control and Agile development methodologies.

Work conditions

Essential functions can be performed with or without a reasonable accommodation.
Noise level is usually moderately quiet.
Role primarily operates in an office or remote work environment and requires prolonged periods of sitting and working at a computer.
Occasional after-hours support may be required for production implementations or critical system issues.

Location: Atlanta, GA (remote) | Salary: USD 90,000 - 110,000 per year

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14d ago

Senior Data Engineer

Suncoast Credit Union Tampa, FL 📍 Florida Remote

Tampa, FL

14d ago

$86k - $115k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

Suncoast Credit Union seeks a Senior Data Engineer to design, evaluate, and test data infrastructure that turns raw inputs into usable information. This role supports ETL pipelines, data modeling and governance, analytics, and natural language processing capabilities, with close collaboration across business teams.

Key Responsibilities

Build systems and infrastructures to collect and process data aligned to company goals.
Build, evolve, and scale infrastructure to ingest, process, and extract meaning from data.
Design, develop, and implement statistical models for classification and information extraction.
Use existing data infrastructure to fulfill data requests, including data housekeeping, cleansing, normalization, hashing, and implementation of required data model changes.
Analyze data to identify anomalies, trends, and correlations across related datasets.
Design, develop, and implement natural language processing software modules.
Troubleshoot data platform and pipeline issues, identify potential solutions, and resolve accordingly.
Partner with business counterparts to define requirements for provisioned data and update defined requirement document templates.
Work with the manager to translate business requirements into schema and data model decisions.
Ensure design efficiency to minimize data refresh lag between systems so reporting stays timely.
Deploy data architectures based on manager-established standards that support Suncoast’s data strategy and information architecture needs.
Follow measurable processes, tools, and engineered data management solutions supporting data platforms such as data warehouse, data lakes, visualization tools, master data management, and advanced analytics tools.
Design and develop ETL processes to extract data from multiple source systems, transform it into a usable format, and load it into data platforms.
Establish data governance and quality best practices and standard operating procedures.
Utilize Azure Data Factory to create pipelines for creating, moving, and transforming data across the data stack.
Architect advanced data solutions for current and future data processes.
Provide mentorship to teammates and offer advisory support.
Maintain knowledge of current trends, laws, and issues affecting the area of expertise.
Attend educational events to support professional development.
Complete annual compliance and information security training to understand employee responsibilities for effective compliance and security programs.

Required Qualifications

Bachelor’s degree in finance, economics, computer science, mathematics, or a related field (a comparable combination of work experience and training may substitute).
7+ years of experience making data usable to end users in a complex data environment.
7+ years of experience with Microsoft SQL Server platforms, including SSRS, SSAS, stored procedure creation, trigger definition and implementation, optimization and indexing, and foundational knowledge of views, tables, database DDL, and SQL Server Integration Services (SSIS).
Experience using Development Transact SQL.
Microsoft Azure experience (5 years): portal and resource navigation.
Azure Data Factory experience (5 years): developing pipelines, pipeline activities, troubleshooting, and related tasks.
Experience with REST API.
Experience with GitHub for creating, updating, and submitting code.
Agile methodology experience (1 year), including Kanban and limiting work in progress.
Experience developing ETL processes.
Experience with Delta Lakes and Lakehouse Architecture.
2+ years of experience designing data structures for a production environment.
Ability to prioritize tasks amid competing and changing priorities to meet deadlines.
Accurate, detail-oriented, and organized with task management.
Ability to analyze and resolve difficult and often complex problems.
Strong written, verbal, and interpersonal communication skills for working with members, staff, vendors, and government regulators.
Strong knowledge and understanding of credit union products, services, policies, and procedures.
Strong knowledge and understanding of regulatory compliance.
Strong knowledge and understanding of credit union computer systems and required software applications.

Technologies

Microsoft SQL Server, SSRS, SSAS
Stored Procedure Creation
Trigger definition and implementation
SQL Server Integration Services (SSIS)
Development Transact SQL
Microsoft Azure
Azure Data Factory
REST API
GitHub
Agile Methodology and Kanban
Delta Lakes
Lakehouse Architecture

Compensation and Employment Details

Salary Range: USD 86,000 - 115,000 per year (based on credentials and experience).

Position Type: Full Time

Location: Remote (candidate must reside in Florida)

Benefits

Bonus Program up to 12%
401K Matching up to 8%
Retirement Planning
Pay Increases based on Competency
Employee Loan Discounts
Flex Spending Accounts
Medical Coverage
Dental and Vision Coverage
Access to 4,000+ Gyms
Mental Health Resources
PTO Wellness Days
Short Term and Long Term Disability Coverage
11 Paid Holidays
3 weeks of Paid Time Off
4 weeks of Paid Parental Leave
Birthday PTO
Paid Volunteer Hours
Degree Assistance up to $5,000 per year

For more information, including additional benefits, visit the benefits website: https://careers.suncoastcreditunion.com/benefits.

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace due to an inclusive culture focused on growth and community. For more information, visit the careers site: https://careers.suncoastcreditunion.com/.

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17d ago

Full Stack Developer — Backend and Data Platform Focus

Advanced Management USA LLC Remote 🌍 Remote

Remote

17d ago

$70k+/yr Full time Backend Developer Python APIs

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Job Description

This is a hands-on individual-contributor position centered on backend engineering for a Python and SQL data platform that powers patient care-gap work for accountable care organizations and payors. Work is primarily in the data pipeline and database layers, with frontend and browser-extension tasks treated as secondary.

Role Overview

The platform reads CMS assignment files, Part A and Part B claims, Medicare eligibility data, and live hospital ADT and FHIR feeds from BigQuery. Scheduled Databricks jobs generate and manage patient care-gap items, and results are written to a PostgreSQL (Neon) database. A Next.js application and a Manifest V3 Chrome extension use the data for downstream workflows.

Correctness and auditability are core priorities. Records are append-only and fully audited, and automated runs must not overwrite work already completed by a human. Join correctness directly affects which patients are targeted, so engineering judgment focuses on blast radius, idempotency, and proof of what each script changes.

Responsibilities

Own the opportunity-generation pipeline.
Extend and operate a Python pipeline that transforms Medicare claims, eligibility data, and hospital ADT feeds into prioritized, workable care-gap items for a portfolio of ACOs and commercial payors.
Write heavy SQL against BigQuery, including correct large-scale joins and aggregation.
Query and tune multi-million-row datasets, including assignment files, Part A and B claims and line items, eligibility responses, FHIR encounter and ADT feeds, plus deduplication and late-arriving-data handling.
Build and run Databricks jobs.
Package pipeline scripts as scheduled jobs (Python script tasks, cluster and dependency configuration, DBFS, secret resolution), and run controlled one-off production jobs for remediation.
Design and migrate PostgreSQL and manage schema, indexing, and query performance on Neon.
Use versioned SQL migrations, staging and historical mirror tables, JSONB metadata columns, read-replica usage for batch reads, and database-enforced immutability.
Ensure generators are idempotent and safe to re-run.
Implement deterministic record IDs, upsert paths that preserve human work, and supersede or carry-forward logic across reporting periods and status lifecycles.
Maintain an append-only audit log behind every state change.
Protect production data through dry-run-then-commit scripts, volume abort thresholds, environment guards, backups, and rollback artifacts, plus remediation that repairs affected rows without destroying history.
Extend automated data-quality monitoring with invariant and drift checks on live production data, alerting, and anomaly investigation through written root cause documentation.
Test pipeline logic with pytest, ephemeral PostgreSQL fixtures, frozen clocks, and pre-commit gates to prevent regressions in nightly runs.
Publish and defend data contracts by documenting record contents and field-level constraints so the application team can build against them, coordinating breaking changes across repositories.
Move into application-layer work when needed, including Next.js, React, and TypeScript surfaces, REST APIs with role-based access control and HIPAA-compliant audit logging, Firebase Cloud Functions and other serverless services, and the Manifest V3 Chrome extension integrating with web-based EHR systems.
Debug end-to-end by tracing incorrect application outputs back through PostgreSQL, the generator that produced the records, the Databricks run source, and upstream BigQuery feeds.
Collaborate across a small team and two repositories, including code review and coordination with application and clinical-operations stakeholders on data needs.
Handle Protected Health Information responsibly with attention to performance, reliability, scalability, and security across every layer.

Required Qualifications

4+ years of professional software development experience.
Strong Python for production data work, including pandas, with scheduled batch jobs and command-line tools (not notebook-only experience).
Advanced SQL including CTEs, window functions, large multi-table joins, aggregation correctness, and query optimization on large datasets.
Strong PostgreSQL skills: schema design, indexing, EXPLAIN-driven tuning, transactions, upserts, and JSONB.
Experience writing and applying SQL migrations against a live production PostgreSQL database.
Experience with a cloud data warehouse, with BigQuery strongly preferred, including partitioning and query cost/performance awareness.
Experience building and operating scheduled data pipelines, including idempotent re-runs, backfills, duplicate and late-arriving sources, and reconciliation between systems.
Experience with Databricks or Spark, including jobs, clusters, dependency management, secrets, and DBFS, or a comparable managed job platform.
Operational judgment with production data: dry runs, blast-radius estimates, auditability, and rollback planning before writing changes.
Ability to debug complex issues across warehouse, batch jobs, databases, and application components.
Working ability in TypeScript with React and Next.js to ship frontend or API changes when required.
Experience designing and building REST APIs.
Comfort with Git and pull-request workflows, including giving and receiving code review.
Clear written communication to explain data defects, causes, and fixes in actionable documentation.
Strong problem-solving skills and attention to detail.

Technology Stack

Python, SQL, pandas
Databricks, BigQuery, Spark
PostgreSQL, Neon, JSONB
Next.js, React, TypeScript
Chrome extension (Manifest V3)
FHIR
REST APIs
Firebase Cloud Functions, serverless services
pytest, Git

Role Level

This is a hands-on individual-contributor role and is not suited for entry level or new graduate candidates.

Location and Compensation

Location: Remote
Salary: USD 70,000 per year
Minimum Experience: 4 years

Benefits

401(k) 6% Match
Bereavement leave
Dental insurance
Family leave
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid parental leave
Parental leave
Vision insurance
401(k) matching
Employee discount
Paid time off
Professional development assistance
Referral program
Tuition reimbursement

Nice to Have

Healthcare data experience: CMS Part A and Part B claims, Medicare beneficiary identifiers (MBI), HL7 v2 ADT feeds, FHIR, or eligibility services such as HETS.
Value-based care domain knowledge: MSSP or ACO programs, risk adjustment and HCC coding, Annual Wellness Visits, transitional care management, or quality measures.
Experience with healthcare technology, including EHR integrations (eClinicalWorks, Athena, Epic, or similar).
Experience with Firebase Cloud Functions, Firestore, and Google Cloud Platform (IAM, service accounts, Secret Manager).
Experience with Prisma ORM.
Experience developing Chrome Extensions using Manifest V3.
Data quality and observability work: anomaly detection, invariant checks, drift monitoring, and alerting.
Experience integrating LLMs such as Claude, OpenAI, or Gemini.
Experience building speech to text or AI powered workflows.
Experience building internal operator tooling for running, configuring, and monitoring pipeline jobs.
Familiarity with modern Python tooling (uv, pytest plugins, pre-commit hook managers) and multi-package repositories.
Familiarity with Rust for performance-sensitive components, browser tooling, or systems programming.
Familiarity with HIPAA compliance and secure handling of healthcare data.

Application Questions

Have you worked on software handling PHI or in a HIPAA-regulated environment?
Describe a production data pipeline you owned end to end: the data sources, the schedule, the volume, and what you did the first time it produced bad data.
What is your hands-on experience with BigQuery or another cloud data warehouse, and with Databricks or Spark?
How comfortable are you writing and applying SQL migrations against a live production PostgreSQL database, and what precautions do you take?

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17d ago

Senior Machine Learning Engineer

Shipt Remote 🌍 Remote

Remote

17d ago

Full time Artificial Intelligence Data Analysis Engineer

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Job Description

Shipt’s Foundations team is hiring a Senior Machine Learning Engineer to build and deliver advanced machine learning models and to drive rigorous experimentation across pricing-related challenges. This role blends modeling and experimentation expertise, with responsibility for validating how algorithmic changes affect key business metrics.

You will operate as a subject matter expert in a machine learning and experimentation domain, partnering closely with product, business, and engineering stakeholders to turn hypotheses into measurable outcomes.

Responsibilities

Implement cutting-edge machine learning models
Design and analyze advanced experiments in collaboration with product, business, and engineering teams to address key challenges across multiple pricing domains at Shipt
Serve as the machine learning and experimentation subject matter expert in a defined domain
Build advanced ML solutions and validate the impact of algorithmic changes on key business metrics
Present recommendations to key stakeholders

Requirements

4+ years of experience applying machine learning and statistics in an industry setting, with a track record of delivering impactful results
PhD or Masters in Computer Science, Statistics, or a related field
Experience building and deploying machine learning models
Experience with experiment design, rollout, analysis, and reporting
4+ years of Python development
Experience presenting to stakeholders
Experience leading key technical projects and substantially influencing the scope and output of others
Bachelor’s Degree or equivalent experience

Technologies

Python
Artificial Intelligence (AI)
Machine Learning (ML)

Benefits

Medical, dental, vision and more
401k plan eligibility
Discretionary vacation for exempt team members
Paid holidays throughout the calendar year
Paid sick leave
Eligibility for an annual bonus
Potential for restricted stock units based on role

Work Arrangement

Remote roles are listed as Remote.
Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays.
Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday.
Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday.
Certain roles may require in-office presence on a full-time basis.

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18d ago

Machine Learning Engineer

Career.io Remote 🌍 Remote

Remote

18d ago

Full time Ai Ml Artificial Intelligence Data Engineer

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Job Description

Career.io is expanding its machine learning team and building AI-native products with a high bar for end-to-end ownership. In this role, you will guide ML products from early problem definition through production deployment and the metrics that demonstrate impact, in a fully remote work-from-home setup.

You’ll work across data and modeling systems that support entity resolution, retrieval, ranking, and matching, including applied LLMs and agentic workflows. The team’s approach centers on shipping, evaluation, and iteration, with engineers accountable for both building and verifying outcomes.

What you’ll own

End-to-end product ownership, taking each ML effort from the problem statement through production and to the metric proving results.
Experiment stewardship, including the ability to decide when an experiment fails and to execute a kill plan rather than treating launch as the finish line.
Canonical datasets for titles, companies, skills, and industries, including content-addressed IDs, faceted taxonomies, and alias graphs accumulated across tens of millions of rows.
Resolution pipelines that combine rules-based approaches with LLM escalation, where the durable asset is the alias graph and escalation volume should decrease over time.
Nightly agent loops that adjudicate ambiguous entities, propose structural changes, and only commit after invariant checks and blast-radius limits pass.
Job ingestion at scale, including multi-source feeds, deduplication, freshness, and the indexing economics behind the pipeline.
Job matching v2 using two-tower retrieval paired with cross-encoder reranking, trained on outcome labels (not clicks), with hard-negative mining, propensity weighting, and impression-time logging.
Mobility embedding learning from observed career sequences to capture similarity that a text encoder cannot recover.
Pivot feasibility to determine where someone is, what moves are realistic, what intermediate roles worked for peers, and what is missing.
Fine-tuning where it earns cost-effectiveness against outcome labels, avoiding fine-tuning for tasks a well-prompted frontier model can already handle.
Agentic systems in production with human approval gates, where agents produce reviewable artifacts and execute only after a human signs off.
Continuous skills inference from work artifacts rather than relying on static documents.
LLM surface decisions by creating new product surfaces only when the correct answer genuinely requires an LLM, and identifying when it does not.
Evaluation infrastructure suitable for design review, including time-forward splits, calibration, offline-to-online agreement, and honest handling of feedback-loop degeneration and survivorship bias.
Working within constraints including GDPR, EU AI Act high-risk classification for employment AI, and client data commitments treated as design inputs.

What you bring

5+ years shipping ML systems into production, with clear examples of the system, pre/post metrics, and how you established that the model drove the change.
Depth in classical ML and deep learning applied to live products, using PyTorch or TensorFlow.
Practical LLM fluency in production, covering retrieval, evals, prompt and context engineering, and the judgment to recognize when an LLM is the wrong tool.
Experience shipping with agentic coding tools such as Claude Code, Claude Design, or close equivalents, with the ability to point to what you built.
Strong software engineering fundamentals to own deployments, including Python, Git, cloud experience (AWS), containers, and patience for messy, human-authored, self-reported data.

Technologies

PyTorch, TensorFlow
Claude Code, Claude Design
Python, Git
AWS, containers

Additional context

The role exists because Career.io operates with small product strategy teams that set direction and priorities, while engineers own work end to end.
Engineers have autonomy within their domain and accountability for outcomes.
AI-native development is treated as the baseline, and engineers ship with Claude Code and Claude Design by default.
Interview discussions will focus on the trail of work such as repos, PRs, or shipped contributions built in this way.

Nice to have

Entity resolution, record linkage, or taxonomy design at scale
Ranking, recommendation, or two-tower retrieval systems
Sequence models on longitudinal or event-stream data
Embedding and vector retrieval systems in production
Experiment design, causal inference, or off-policy evaluation
Warehouse-native ML (dbt, Snowflake, or similar)
Labor market, HR tech, or people-data domain experience
Open-source contributions or publications

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20d ago

Senior Software Engineer

Cotiviti Remote 🌍 Remote

Remote

20d ago

$111k - $150k/yr Full time Senior Appian Database

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Job Description

Join Cotiviti to support and improve production software within the Cotiviti product suite, working across engineering, offshore teams, business owners, and project management.

Responsibilities

Support and enhance high-quality software modules across the Cotiviti product suite
Analyze and resolve software issues reported by internal or external customers
Document application specifications, design, features, and operations prior to production rollout
Apply proficient knowledge within the primary discipline and build knowledge across related disciplines
Implement performance and availability improvements through solution enhancements
Communicate technical and operational issues to engineering and business leadership in a timely manner
Develop systems while ensuring adherence to applicable technology standards
Explore new ideas and contribute innovations that improve efficiency and results
Continuously expand knowledge of new technologies selected and integrated into the Cotiviti product suite
Execute appropriate facets of the Cotiviti Software Development Lifecycle with a continuous improvement mindset
Mentor other developers
Complete responsibilities listed in the annual Performance Plan
Handle special projects and other duties as assigned
Perform duties with or without reasonable accommodation

Requirements

Education: BS or MS in Computer Science, Information Technology, Information Systems, or equivalent work experience
Experience: 4-5 years optimizing and tuning SQL queries, stored procedures, and triggers
Programming: 4-5 years with Java or Python
Platforms: 4-5 years with Appian and Cloudera Hadoop
Databases: 4-5 years with Microsoft SQL Server, HBASE, and Hive
Web services: 4-5 years using Java/Spring Boot
Agile: Strong knowledge and application of SAFe agile practices (preferred)
Data: Proficiency working with large data sets

Technologies

Java, Python
Appian
Cloudera Hadoop
Microsoft SQL Server
HBASE, Hive
SQL queries, stored procedures, triggers
Java/Spring Boot
SAFe agile practices

Compensation

USD 111,000 - 150,000 per year

Benefits

Medical, dental, and vision
Disability and life insurance coverage
401(k) savings plans
Paid family leave
9 paid holidays per year
17-27 days of Paid Time Off (PTO) per year, depending on level and length of service
Competitive benefits package

Mental Requirements

Critical Thinking: analyze problems objectively and make sound, data-driven decisions
Attention to Detail: maintain accuracy across code, data, and deliverables
Quantitative Skills: apply strong analytical and statistical methods
Data Interpretation: extract actionable insights from data, metrics, and visualizations
Communication: clearly explain technical concepts to technical and non-technical audiences
Learning Agility: quickly adopt new tools, technologies, and best practices
Resilience: adapt to shifting priorities and deliver under pressure
Integrity: handle data responsibly and uphold engineering and ethical standards

Physical Requirements and Working Conditions

Remain in a stationary position, often standing or sitting for prolonged periods
Repeating motions that may include wrists, hands, and/or fingers
Remote role: provide a dedicated, secure work area with reliable hi-speed internet

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20d ago

Sr. Software Engineer (Contract-to-Hire)

Fulcrum Neuroscience, Inc. Remote 🌍 Remote

Remote

20d ago

Contract Python Senior Ai Ml

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Job Description

Fulcrum Neuroscience, Inc. is seeking a senior software engineer for a contract-to-hire position focused on building AI-driven software for biological models and model-enabled research. The work is hands-on and spans tooling, visualizations, integrations, and documentation that help teams develop, analyze, and iterate on modeling workflows.

Role Overview

You will support the development of AI-driven tools and capabilities for biological models, digital populations, digital twins, and model-enabled research. The role emphasizes building scalable and extensible software from early concepts and prototypes while maintaining clear documentation for other contributors.

Responsibilities

Develop AI-driven tools and skills, including chat-based interactions and agentic workflows.
Build MCP-based integrations that support model development and analysis, including workflows for model-based drug discovery and development.
Create AI-enabled visualizations, dashboards, and automated parametric search tools for complex processes such as iterative goal-seeking tasks that can run autonomously or with human-in-the-loop support.
Develop tooling to integrate and analyze external literature and data within the modeling platform.
Translate concepts and prototypes into software solutions that can scale and remain extensible.
Capture requirements from technical discussions and produce clear documentation, including commented code, architecture and workflow descriptions, and API documentation.

Required Qualifications

BS in Computer Science or Engineering (or a related discipline).
5+ years of professional software development experience.
Experience with vibe coding using one or more frontier models.
Proficiency in Python and JSON, along with experience interfacing with API-driven platforms.
Experience with Mathematica is a plus.
Proven ability to write well-designed, well-documented code with documentation that helps other team members (architecture, workflow, and APIs).
Comfort working in a fast-moving startup environment while managing multiple priorities and adapting to evolving deadlines.

Highly Desired Qualifications

Experience developing scientific, modeling, and/or analytical software.
Experience developing AI capabilities for agentic workflows.
Experience building software that integrates with LLMs, including LLM APIs, RAG, and MCP.
Experience using open-weight (local) LLM models.
Familiarity with Bayesian statistics and simulation of systems of non-linear differential equations.

Technology Areas

The role involves work with Python, JSON, API-driven platforms, Mathematica, MCP, LLMs, LLM APIs, RAG, open-weight (local) LLM models, and Bayesian statistics.

Benefits

Meaningful early-stage equity and a contract rate commensurate with experience.
Opportunity to build modeling tools that support model-based research of Alzheimer’s and related disease at an early-stage company.

Work Location and Travel

The ideal candidate would be based in the San Francisco Bay Area and able to work at the company’s office in South San Francisco, CA one day per week.