Programming Language

Programming Language Data Jobs

225 jobs found

1mo ago

AI Engineer

Wayy Research Remote 🌍 Remote

Remote

1mo ago Closed

$60 - $70/hr Full time Marketing Python Algorithms

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Wayy Research is advancing the precision of measurement in digital marketing analytics. As an AI Engineer, you will own the algorithms for budget allocation, attribution, and rigorous experimental measurement, determining whether cross-channel effects are real or simply noise, all in a remote-friendly setting.

Responsibilities

Develop and maintain a multi-armed bandit engine using Thompson Sampling on Beta-Bernoulli reward models, with contextual extensions as needed. Manage exploration-exploitation tuning, cold-start handling, and non-stationary reward drift.
Build an attribution system around Shapley value-based multi-touch credit assignment, benchmarking against first-touch, last-touch, and position-based baselines.
Design and operate experiment infrastructure for A/B and multivariate tests, including power analyses, sequential testing with alpha spending, and significance testing that remains valid despite peeking.
Execute cross-channel causal measurement using geo holdouts, incrementality tests, and difference-in-differences designs to isolate true interaction effects from mere correlations.

Requirements

Strong Python skills with experience in NumPy, SciPy, pandas, and scikit-learn.
Hands-on experience with multi-armed bandits—Thompson Sampling, UCB, and epsilon-greedy—and a solid understanding of regret bounds, not just APIs.
Expertise in hypothesis testing and experimental design, including power analysis, multiple comparisons correction, sequential testing, and addressing the peeking problem.
Proven track record shipping production-grade A/B tests, not solely performing analysis.
Causal inference experience—DiD, synthetic control, instrumental variables, or incrementality testing.
Advanced SQL proficiency with PostgreSQL.

Technologies

Python
NumPy
SciPy
pandas
scikit-learn
PostgreSQL
PyMC
Stan
NumPyro

Benefits

Pay: USD 60.00 - 70.00 per hour
Remote

You’ll fit if

You are uncomfortable with lift numbers reported without a control group and can articulate the difference between a channel that converts and a channel that causes conversions to a CMO without condescension.

Strongly preferred

Marketing mix modeling or media measurement background
Bayesian methods experience with PyMC, Stan, or NumPyro
Shapley values or cooperative game theory applied to attribution
Production ML deployment experience, not just notebooks

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1mo ago

Senior Data Engineer (Azure Data Factory Databricks, PostgreSQL, Python)

Career Developers Reston, VA

Reston, VA

1mo ago Closed

Full time Python Senior Analytics

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Career Developers is seeking a Senior Data Engineer to design and maintain scalable, production-grade data pipelines within Azure-based environments, leveraging Data Factory and Databricks alongside PostgreSQL and Python to empower analytics and reporting. This on-site role in Reston, VA requires a Bachelor's degree and at least several years of hands-on data engineering experience building reliable data products in enterprise settings.

Responsibilities

Design, build, and maintain scalable production data pipelines supporting enterprise data platforms
Perform exploratory data analysis, statistical analysis, and data validation to support analytics and reporting
Develop and optimize ETL/ELT workflows including job design, orchestration, and performance tuning
Build and maintain relational database schemas, queries, and stored procedures
Work within Azure-based data environments including Data Factory, Databricks, and Data Lake Storage
Collaborate with analytics, BI, and engineering teams to deliver reliable data products
Implement monitoring, logging, and observability for data pipelines
Maintain documentation, data lineage, and governance standards
Participate in architecture discussions and contribute to long-term data platform strategy

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, Information Science, Data Engineering, Finance, or related field (Master's preferred)
5+ years of data engineering experience working with production data pipelines
5+ years of applied data analysis and statistical data work
3+ years of ETL / ELT development experience
3+ years working with relational databases and performance tuning
Experience with Azure data services (Data Factory, Databricks, Data Lake, Synapse, Delta Lake, or similar)
Strong programming experience with Python, PySpark, SQL, and Bash
Experience with Kafka, SAP data services, or similar integration tools preferred
Experience with PostgreSQL, SAP ASE, or comparable databases
Experience with Power BI or BusinessObjects is a plus
Experience with CI/CD pipelines, Git, Kubernetes, and infrastructure-as-code
Knowledge of data governance, cataloging, and access control
Experience with monitoring tools such as Datadog, Grafana, or Prometheus
Ability to work independently while managing multiple priorities
Strong communication and documentation skills
Must be eligible to work in the United States

Technologies

Azure Data Factory
Databricks
Data Lake Storage
Azure Synapse
Delta Lake
Spark
PostgreSQL
SAP Data Services
SAP ASE
Power BI
BusinessObjects
Python
PySpark
SQL
Bash
Kafka
Kubernetes
Git
CI/CD
Datadog
Grafana
Prometheus

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1mo ago

Sr. Physical Design Engineer - Static Timing Analysis, Cloud Scale Machine Learning

Annapurna Labs (U.S.) Inc. Cupertino, CA

Cupertino, CA

1mo ago Closed

$183k - $248k/yr Full time Electrical Engineering Senior Automation

This position is no longer accepting applications (closed Aug 27, 2026).

Job Description

Annapurna Labs (U.S.) Inc. offers an onsite Senior Physical Design role in Cupertino, CA with a startup‑like team culture that values collaboration across RTL, architecture, and physical design. The position provides a competitive salary range of USD 183,000 to 247,600 per year and a comprehensive benefits package that includes health insurance, 401(k) matching, paid time off, parental leave, sign‑on payments, and restricted stock units (RSUs).

Responsibilities

Develop and maintain flows for block and full‑chip level static timing analysis.
Write, debug, and validate timing constraints for blocks and the full chip.
Execute Static Timing Analysis and provide regular feedback to team members and leads.
Offer guidance on addressing timing issues, including generating ECOs and correcting constraint issues.
Develop scripts to automate timing analysis and generate reports.
Contribute as a valued member of a startup‑like team through strong collaboration with other physical design engineers and with the RTL and Architecture teams.

Requirements

Experience with scripting languages such as Perl, Python, or JavaScript.
BS with 8+ years, MS with 6+ years, or PhD with 4+ years in EE/CS.
Expertise in timing analysis fundamentals.
3+ years of experience performing Static Timing Analysis.
3+ years developing timing constraints.
Experience with timing analysis using EDA tools such as PrimeTime, Tempus, or equivalent.
Understanding of ASIC physical design from RTL to GDSII.
Understanding of other sign‑off activities, including IR/EM, physical verification, and DFT.

Technologies

Perl
Python
Javascript
PrimeTime
Tempus
PT‑DMSA
Tempus‑ECO
Tweaker
STAR‑RC
Quantus
SPICE
SPECTRE
DDR
HBM
PCIe
Die‑to‑Die

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign‑on payments
Restricted stock units (RSUs)

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1mo ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Redmond, WA 🇺🇸 Remote

Redmond, WA

1mo ago Closed

Full time AI Ai Ml Amazon Bedrock

This position is no longer accepting applications (closed Aug 27, 2026).

Job Description

What Hudson Manpower offers

This fully remote GenAI and data science role places you in a Redmond, WA base while enabling complete work-from-anywhere flexibility. It targets senior professionals with 10+ years of experience who want to turn innovative AI concepts into practical prototypes. You will focus on prototyping AI and GenAI solutions (PoCs and MVPs) using Python, leading ML frameworks, and cloud platforms, all within a collaborative, problem‑solving culture that emphasizes measurable impact and continuous learning.

Responsibilities

Prototype AI and GenAI solutions (PoCs and MVPs) using Python, ML frameworks, and cloud platforms.

Requirements

Experience: 10+ years
Location: 100% Remote
No H1B candidates; all other applicants welcome
Candidate type: Only W2
AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles
Programming Skills: Python and tools like Hugging Face, Langchain, and OpenAI API
Deep Learning Frameworks: TensorFlow, Keras, and PyTorch
Cloud Platforms: Google Model Garden, Amazon Bedrock, and Nvidia Nim
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools
Mindset: Self-motivated with a passion for solving hard problems using AI/GenAI; collaborative and innovative

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

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1mo ago

Data Scientist - AI Trainer

DataAnnotation Wyomissing, PA 🇺🇸 Remote

Wyomissing, PA

1mo ago Closed

$50 - $100/hr Contract Ai Ml Ai Training Artificial Intelligence

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Remote contract Data Scientist - AI Trainer role with DataAnnotation, based in Wyomissing, PA, focused on designing coding challenges, crafting code and explanations, and evaluating AI-generated solutions.

Responsibilities

Create and solve a variety of coding problems used to train AI systems.
Produce concise, well-written code samples accompanied by thorough explanations.
Assess AI-generated code for accuracy, performance, and readability.
Provide actionable feedback that informs subsequent AI model iterations.

Requirements

Proficient English language skills, native-level or bilingual.
Strong ability in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar proficiency.
Bachelor's degree (completed or in progress).

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and set your own hours, on your own computer from home.
Competitive pay: hourly range of $50 to $100 USD, with potential higher bonus rates on select projects.
Impact: help shape the future of AI technologies.

Note

Payment is made via PayPal. We will never ask for money from you. PayPal handles currency conversions from USD. This position is open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand; those outside these regions will not see work or assessments on our site at this time.

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1mo ago

Data Scientist - AI Trainer

DataAnnotation Clintonville, WI 🇺🇸 Remote

Clintonville, WI

1mo ago Closed

$50 - $100/hr Contract Ai Ml Ai Trainer Ai Training

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

DataAnnotation is expanding its remote data science team with an AI Trainer who can shape the next generation of AI systems. In this contract role, you will design and solve coding challenges that trains models and write clear explanations to accompany each solution. The position supports flexible scheduling and fully remote work, reflecting a modern, distributed approach to AI training.

Key details:

Location: Clintonville, WI (remote)
Salary: USD 50 - 100 per hour
Education: Bachelor's degree
Job type: Contract

Responsibilities

Design and solve a variety of coding problems used to train AI systems.
Craft clear, high-quality code snippets and thorough explanations.
Assess AI-generated code for accuracy, performance, and readability.
Deliver feedback that helps steer the development of future AI models.

Requirements

Fluency in English at native or bilingual level.
Proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Strong writing and grammar skills.
A bachelor’s degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, the UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and determine work hours on your own computer from home.
Competitive pay: hourly rates between $50 and $100 USD, with potential for higher bonuses on select projects.
Impact: contribute to shaping the future of AI technologies.

Note

Payments are processed via PayPal. No money is ever requested from candidates. PayPal handles currency conversions from USD. This opportunity is restricted to residents of the US, Canada, the UK, Ireland, Australia, and New Zealand. Candidates outside these regions will not see work or assessments available on the site at this time.

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1mo ago

Machine Learning Engineer

Glint Tech Solutions LLC Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

Full time Ai Ml Automation Azure Ml

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Glint Tech Solutions LLC is seeking an experienced Machine Learning Engineer to design, deploy, and scale ML models and pipelines, and to build ML infrastructure on cloud platforms. This onsite role in Sunnyvale, CA collaborates with data science and engineering teams to deliver reliable, scalable AI solutions.

Responsibilities

Design and deploy scalable machine learning models and pipelines using Python and Java
Build and manage ML infrastructure on GCP and Azure cloud platforms
Implement and manage containerized workloads using Kubernetes
Ensure scalability and reliability of ML systems in production environments
Collaborate cross-functionally with data science and engineering teams