software engineer, data platform product Jobs in San Francisco

software engineer, data platform product

software engineer, datastore Jobs in San Francisco

software engineer, datastore

sr data engineer

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Responsibilities:

Responsibilities 
As a Senior Data Engineer in the Corporate Data Engineering team, you will have the opportunity to apply your strong technical experience building highly reliable data products. You enjoy working in an agile environment. You are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases. 
On a typical day you will help our partner teams ingest data faster into our data lake, you&rsquo;ll find ways to make our data products more efficient, or come up with ideas to help build self-serve data engineering within the company. Then you will build architect , design, and promote self serve capabilities at scale to help Atlassian grow.
Qualifications 
On your first day, we'll expect you to have:<ul><li>
At least 7+ years of professional experience as a software engineer or data engineer</li><li>
A BS in Computer Science or equivalent experience</li><li>
Strong programming skills (some combination of Python, Java, and Scala)</li><li>
Experience writing SQL, structuring data, and data storage practices</li><li>
Experience with data modeling</li><li>
Knowledge of data warehousing concepts</li><li>
Experienced building data pipelines and micro services</li><li>
Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data</li><li>
A willingness to accept failure, learn and try again</li><li>
An open mind to try solutions that may seem impossible at first</li><li>
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)</li></ul>
It's preferred, but not technically required, that you have:<ul><li>
Experience building self-service tooling and platforms</li><li>
Built and designed Kappa architecture platforms</li><li>
A passion for building and running continuous integration pipelines.</li><li>
Built pipelines using Databricks and well versed with their API&rsquo;s</li><li>
Contributed to open source projects (Ex: Operators in Airflow)</li></ul>
Qualifications:

Qualifications 
On your first day, we'll expect you to have:<ul><li>
At least 7+ years of professional experience as a software engineer or data engineer</li><li>
A BS in Computer Science or equivalent experience</li><li>
Strong programming skills (some combination of Python, Java, and Scala)</li><li>
Experience writing SQL, structuring data, and data storage practices</li><li>
Experience with data modeling</li><li>
Knowledge of data warehousing concepts</li><li>
Experienced building data pipelines and micro services</li><li>
Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data</li><li>
A willingness to accept failure, learn and try again</li><li>
An open mind to try solutions that may seem impossible at first</li><li>
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)</li></ul>
It's preferred, but not technically required, that you have:<ul><li>
Experience building self-service tooling and platforms</li><li>
Built and designed Kappa architecture platforms</li><li>
A passion for building and running continuous integration pipelines.</li><li>
Built pipelines using Databricks and well versed with their API&rsquo;s</li><li>
Contributed to open source projects (Ex: Operators in Airflow)</li></ul>
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $175,500 - $229,125
Zone B: $158,400 - $206,800
Zone C: $145,800 - $190,350
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

Sr Data Engineer

LendingClub

<div><h3 class="jobSectionHeader">Current Employees of LendingClub: Please apply via your internal Workday Account</h3>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!<h2 class="jobSectionHeader">
About the Role</h2>
Our mission at LendingClub is to empower those who strive to achieve better financial health. The data Platform Team plays a crucial role in achieving our mission.
 
 
We are seeking a Sr ML Platform Engineer for our Data Platform Team to help build and scale the ML platform and infrastructure that powers data-driven decision-making across the company. This role focuses on enabling multiple business functions such as credit risk, fraud detection, marketing, and operations - to experiment, deploy, and monitor machine learning models efficiently and responsibly.
 
 
You&rsquo;ll work closely with data scientists, data engineers, and product teams to create a unified, secure, and compliant ML ecosystem that accelerates innovation while ensuring model transparency, performance, and governance.<h2 class="jobSectionHeader">
What You'll Do</h2><div><ul><li>
 Design, build, and maintain scalable machine learning infrastructure - including feature stores, model registries, and deployment pipelines - to enable efficient model experimentation and productionization</li><li>
Implement end-to-end MLOps practices for automated continuous training, testing, deployment, versioning of workflows, and monitoring of ML models using modern frameworks (e.g., MLflow, SageMaker, Databricks, Kubeflow)</li><li>
Build and maintain scalable ML pipelines for data ingestion, feature engineering, training, and deployment, ensuring reliability, observability, and compliance with LendingClub&rsquo;s data security policies</li><li>
Collaborate closely with data scientists to transition prototypes into robust, production-grade solutions - ensuring reproducibility, performance optimization, and version control</li><li>
Build standards, tools and libraries to streamline model lifecycle operations (training, evaluation, deployment) for other teams across LendingClub</li><li>
Create and maintain monitoring systems for model performance, data drift, and feature quality - with automated alerting and retraining triggers</li><li>
Ensure compliance and governance of ML assets through audit logging, explainability tooling (SHAP, LIME, feature attribution), and model documentation practices that align with regulatory standards (e.g., Fair Lending, FCRA)</li><li>
Integrate ML systems with business applications, APIs, and microservices to deliver real-time intelligence to customer-facing and internal decisioning systems</li><li>
Collaborate with platform, DevOps, and security teams to establish standardized infrastructure, CI/CD pipelines, and deployment environments for ML workloads</li><li>
Drive adoption of Responsible AI principles - ensuring fairness, interpretability, and transparency in models used for credit, risk, and customer decisions</li><li>
Automate evidence packaging for internal audits and regulatory reviews, including data lineage, test results, and approval history</li><li>
Conduct performance benchmarking and cost optimization for ML workloads across cloud and compute resources</li></ul></div><h2 class="jobSectionHeader">
About You</h2><div><ul><li>
6+ years of experience in Machine Learning Engineering, Data Engineering, or MLOps</li><li>
Bachelor's degree or higher in a related field; or equivalent work experience
</li><li>Strong foundation in ML engineering, with experience building and scaling pipelines and platforms in production</li><li>
Proficient in Python and experienced with data transformation and orchestration tools such as dbt (for modeling), Dagster (for orchestration), and Databricks (for large-scale data and model workflows)</li><li>
Deep understanding of the end-to-end ML lifecycle, from data ingestion and feature engineering to model deployment and monitoring</li><li>
Hands-on experience or interest in data quality and observability frameworks, such as Elementary, and you appreciate how data reliability underpins model performance</li><li>
Experience implementing or supporting MLOps practices using frameworks like MLflow, SageMaker, or similar tools within Databricks or AWS</li><li>
Comfortable working in a cloud-native environment (AWS preferred) and using infrastructure-as-code (Terraform, CloudFormation) to automate deployments</li><li>
Strong collaboration skills and the ability to partner with data engineers, data scientists, and product teams to make ML accessible, reliable, and compliant across domains</li><li>
You thrive in a FinTech environment, balancing innovation with rigor around governance, explainability, and model monitoring.</li></ul></div><div> 
Nice to have skills:</div><div><ul><li>
Experience with LLM integration (RAG pipelines, vector databases)</li><li>
Exposure to risk modeling, credit scoring, or fraud detection systems</li><li>
Familiarity with FinTech data privacy laws and model documentation standards</li><li>
Contributions to open-source ML infrastructure or platform components</li></ul>
Work Location
 
San Francisco 
 
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
 
 
Time Zone Requirements
 
Primarily PT 
 
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. 
 
Travel Requirements
 
As needed travel to LendingClub offices and/or other locations, as needed.
 
 
Compensation
 
The target base salary range for this position is 176,000-205,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). 
 
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
 
 
#LI-Hybrid
 
#LI-JH1 
</div> 
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system. 
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</div>

Sr ML Ops Engineer

MMR CONSULTING

<div>Previous Pharmaceutical/Biotech experience is mandatory for this role. 
MMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and other Consulting services.

MMR Consulting has offices in Canada, USA, and Australia.

This is an outstanding opportunity to join our growing team, where the successful candidate will work with a group of engineers and specialists involved in project management, commissioning and qualification, of equipment, systems and facilities. The work will require working out of the client&rsquo;s facilities in San Francisco Bay Area, California.
This role is for Bioprocess Sr. C&amp;Q Engineer role to work on the commissioning, qualification, startup of upstream and downstream bioprocess systems/equipment in the biopharmaceutical industry, as well as process equipment in pharma/biotech industries. The ideal candidate should possess leadership skills to lead/mentor intermediate/junior engineers.

Responsibilities
<ul>
<li>Provide technical guidance into the commissioning, qualification and start-up of various equipment and facilities used in life science manufacturing, such as bioreactors, tanks, CIP, Buffers, Media, Chrom, TFF, washers &amp; autoclaves, etc.</li>
<li>Lead the development of key qualification deliverables during the project lifecycle to ensure project is well defined, and the action plan to test the system is applicable and relevant.</li>
<li>Lead qualification processes throughout the project lifecycle such as VPP, Risk Assessments, RTM, DQ, FAT, SAT, IQ, OQ and PQ as appropriate to ensure timely completion and to ensure all quality and engineering specifications are met.</li>
<li>Prepare protocols, execute protocols, summarize data, resolve deviations, prepare final reports.</li>
<li>Experience with C&amp;Q of process equipment, utilities, facilities is an asset. Thermal Validation experience is an asset.</li>
<li>Coordinate meetings with cross-functional departments, to drive project progress, facilitate decisions, provide updates.</li>
<li>Engage other departments, as required, for design reviews and decisions.</li>
<li>Travel may be occasionally required for meetings with clients, equipment fabrication vendors or Factory Acceptance Testing (FATs).</li>
<li>Work may require occasional support over shutdowns or extended hours, specifically during installation and commissioning / validation phases.</li>
<li>Client-management (maintain key Client relationships in support of business development and pursuit of new work), project scheduling/budgeting, coordination of client and MMR resources for effective project delivery, supporting business development (providing technical support to the sales as required for proposals/opportunities), presenting at industry conferences/publishing papers etc.</li>
<li>Visit construction and installation sites following all site safety requirements.</li>
<li>Other duties as assigned by client, and/or MMR, based on workload and project requirements.</li>
</ul>
Qualifications
<ul>
<li>8-12+ years for years of experience in commissioning, qualification or validation of various systems within the pharmaceutical/biotech industry.</li>
<li>Excellent written and spoken English is required including the preparation of technical documents in English</li>
<li>Knowledge of requirements for a cGMP operations, including SOPs, Change Controls, Validation.</li>
<li>Experience with developing and executing validation projects. Risk-Based Commissioning &amp; Qualification approaches, such as ASTM E-2500 or ISPE ICQ, is considered an asset, but not required.</li>
<li>Experience with commissioning and qualification of biotech process equipment (upstream or downstream or both), such as some, but not all, of the following: fermentation, bioreactors, downstream purification processes (chromatography, TFF, UF) is required</li>
<li>Experience with commissioning &amp; qualification of process control systems (i.e. PCS, SCADA, Historians) and building automation systems (i.e. Siemens Insight / Desigo, JCI Metasys) are considered an asset, but not required.</li>
<li>Experience with Qualification or Validation of clean utilities, ISO clean rooms, and Thermal Validation is considered an asset.</li>
<li>Experience with preparation and execution of URS&rsquo;s, DQ&rsquo;s, RTMs, Risk Assessments, CPPs, VPPs, FATs, SATs, IOQs, NCRs, Final Reports.</li>
<li>Ability to lift 50 lbs.</li>
<li>Engineering or Science degree, preferably in Mechanical, Electrical, Chemical, Biochemical, Electromechanical or a related discipline.</li>
<li>Ability to handle multiple projects and work in a fast-paced environment.</li>
<li>Strong multi-tasking skills</li></ul> 


Salary range: 100,000$ -145,000$ based on experience. 
Equal Employment Opportunity and Reasonable Accommodations

MMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.</div>

BIOPHARMACEUTICAL – SR C&Q ENGINEER

Delty (YC X25)

<div>
 
 About Us
 
 
 
 
 Delty is building the world&rsquo;s first &ldquo;AI Staff Engineer.&rdquo;
 
 Unlike typical code-generation tools, Delty is trained on a team&rsquo;s codebase, documentation, and system history &mdash; giving it a system-level understanding of architecture, conventions, and constraints. Delty helps engineering teams design enterprise-scale software systems, make architectural decisions, and enable AI coding agents to work with real system context.
 
 
 Delty was founded by former engineering leaders from
 
 Google, including co-founders with deep experience at YouTube and in large-scale infrastructure
 
 . You&rsquo;ll get to work alongside people who built massive systems at scale &mdash; a chance to learn a
 
 lot
 
 and contribute meaningfully from day one.
 
 
 We believe in solving hard problems together as a team, iterating quickly, and building software with long-term thinking and ownership.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Work full-stack: design and build features spanning front-end, back-end, data storage and processing.
 </li>
 <li>
 Build new product modules and services from scratch &mdash; or evolve existing ones &mdash; guided by context-aware system design.
 </li>
 <li>
 Work with AI and machine learning: integrate large-language models (LLMs), process large or long-form text data, apply traditional ML (e.g. regression, data pipelines), and build tooling around AI-driven flows.
 </li>
 <li>
 Make architectural decisions &mdash; choose frameworks, data models, APIs, storage solutions &mdash; balancing trade-offs between performance, scalability, maintainability, and complexity.
 </li>
 <li>
 Collaborate closely with co-founders and other engineers to translate product vision into a working, maintainable codebase.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 At least 3 years of full-stack engineering experience, including substantial work with AI/ML.
 </li>
 <li>
 Strong skills across front-end, back-end, databases/data storage &mdash; and demonstrated ability to design end-to-end systems.
 </li>
 <li>
 Experience working with or integrating AI/ML &mdash; LLMs, data pipelines, long-form text processing, traditional ML like regression or statistical modeling.
 </li>
 <li>
 Good design sense and architectural thinking: you understand trade-offs (scalability vs complexity, speed vs maintainability) and can choose wisely based on constraints.
 </li>
 <li>
 Comfort working in a fast-paced startup-style environment: nimble, iterative, high ownership.
 </li>
 <li>
 Bonus: prior startup experience, or even having been a founder &mdash; we value entrepreneurial thinking, self-direction, and willingness to wear multiple hats.
 
 
 </li>
 </ul>
 Why join
 
 
 <ul>
 <li>
 Learn from seasoned Google engineers: As former Google engineers who built systems at YouTube and Google Pay, we&rsquo;ve operated at massive scale. Working alongside us gives you a chance to build similar systems and learn best practices, scale thinking, and software design deeply.
 </li>
 <li>
 High impact: At a small but ambitious team, your contributions will influence architecture, product direction, and core features. You will have real ownership and see the effects of your work quickly.
 </li>
 <li>
 Grow fast: We&rsquo;re iterating rapidly; you&rsquo;ll be exposed to the full stack, AI/ML pipelines, system architecture, data modeling, and product-level decisions &mdash; a fast-track to becoming a senior engineer or technical lead.
 </li>
 <li>
 Challenging and meaningful work: We&rsquo;re tackling the hardest part of software engineering: bridging AI-generated prototypes and robust, scalable enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations &mdash; this is for you.
 </li>
 </ul>
</div>

Full stack software engineer

Astranis

<div><div>Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe&mdash; large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. 
 
Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization.Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA.</div><div>
<h2 class="jobSectionHeader">
Software Engineer - Backend</h2>

As a Software Engineer on the Platform team, you'll design and build services that autonomously control satellites, monitor telemetry for anomalies, and provide real-time situational awareness to keep our fleet safe and online. You'll also be building the core components and services that power the rest of our software organization, enabling every team to move faster and more reliably.

You will be shaping the foundation of software that has to work flawlessly &ndash; because our satellites depend on it.

This role will contribute to both our commercial and US government programs.
<h3 class="jobSectionHeader">
Role</h3>
<ul><li>Design and build high-performance, reliable, mission-critical software that is used to send commands to space</li>
<li>Take full ownership of features, working across backend and infrastructure</li>
<li>Collaborate with multidisciplinary teams to define software requirements, architectures, and designs</li>
<li>Continuously assess the evolving tech landscape and advocate for innovations that will improve our system</li>
<li>Mentor teammates, share knowledge, and help raise the technical bar</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>0-5 years of professional experience as a software engineer</li>
<li>Bachelor's degree in Computer Science or related technical field</li>
<li>Strong proficiency in Python</li>
<li>Experience with distributed systems and microservice architectures</li>
<li>Experience and understanding of databases (Postgres, etc)</li>
<li>Experience and understanding of pub/sub and streaming systems (RabbitMQ, Flink, etc)</li>
<li>Track record of delivering high-impact features and improvements in a collaborative environment</li>
</ul><h3 class="jobSectionHeader">Bonus</h3>
<ul><li>Experience with Kubernetes</li>
<li>Experience introducing metrics and monitoring to increase system stability</li>
<li>Proficiency in C++, Go, Rust</li>
<li>Experience building fleet management systems</li>
</ul></div><div><div>U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required</div>
<div>(To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))</div>
<div></div>
<div>Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.</div></div></div>

Software Engineer - Backend, Platform

Mercor

<div>
 
 Mercor is hiring experienced Python Engineers
 
 to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains.
 
 
 This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories
 </li>
 <li>
 Ensure benchmark tasks include comprehensive unit and integration tests for solution verification
 </li>
 <li>
 Maintain consistency and scalability of benchmark task distribution
 </li>
 <li>
 Provide structured feedback on solution quality and clarity
 </li>
 <li>
 Debug, optimize, and document benchmark code for reliability and reproducibility
 
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;10 years of experience as a backend software engineer, ML engineer, or applied data scientist
 </li>
 <li>
 Degree in Software Engineering, Computer Science, or a related field
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Experience with debugging, testing, and validating code
 </li>
 <li>
 Comfortable with technical writing and attention to detail
 
 
 
 </li>
 </ul>
 
 Project Timeline
 
 
 
 <ul>
 <li>
 Start Date: Immediate
 </li>
 <li>
 Duration: 1 month
 </li>
 <li>
 Commitment: Part-time (15&ndash;20 hours/week)
 </li>
 <li>
 Schedule: Fully remote and asynchronous &ndash; flexible working hours
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Contract
 
 
 
 <ul>
 <li>
 $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete)
 </li>
 <ul>
 <li>
 Median average pay inclusive of bonuses is $200/hr
 
 </li>
 </ul>
 <li>
 Independent contractor
 </li>
 <li>
 Daily payment via Stripe Connect
 
 
 </li>
 </ul>
 
 Application &amp; Onboarding Process
 
 
 
 <ul>
 <li>
 Upload your resume
 </li>
 <li>
 AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 Brief assessment testing real-world coding ability, technical depth, and debugging approach
 </li>
 <li>
 Follow-up communication within a few days with next steps and onboarding details
 </li>
 <li>
 About Mercor **Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D&rsquo;Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI.
 
 
 
 </li>
 </ul>
 
 Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!
 
</div>

Backend Software Engineer: Python

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join the Worldwide Sustainability (WWS) organization where we capitalize on our size, scale, and inventive culture to build a more resilient and sustainable company. WWS manages our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world around us to become more sustainable. 
 
Sustainability Science and Innovation is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise to identify, evaluate and/or develop new science, technologies, and innovations that aim to address long-term sustainability challenges. 
 
We are looking for a Sr. Research Scientist to help us develop and drive innovative scientific solutions that will improve the sustainability of materials in our products, packaging, operations, and infrastructure. You will be at the forefront of exploring and resolving complex sustainability issues, bringing innovative ideas to the table, and making meaningful contributions to projects across SSI&rsquo;s portfolio. This role not only demands technical expertise but also a strategic mindset and the agility to adapt to evolving sustainability challenges through self-driven learning and exploration. 
 
In this role, you will leverage your breadth of expertise in AI models and methodologies and industrial research experience to build scientific tools that inform sustainability strategies related to materials and energy. The successful applicant will lead by example, pioneering science-vetted data-driven approaches, and working collaboratively to implement strategies that align with Amazon&rsquo;s long-term sustainability vision. 
 
Key job responsibilities 
<ul><li>Develop scientific models that help solve complex and ambiguous sustainability problems, and extract strategic learnings from large datasets.</li></ul> 
<ul><li>Work closely with applied scientists and software engineers to implement your scientific models.</li></ul> 
<ul><li>Support early-stage strategic sustainability initiatives and effectively learn from, collaborate with, and influence stakeholders to scale-up high-value initiatives.</li></ul> 
<ul><li>Support research and development of cross-cutting technologies for industrial decarbonization, including building the data foundation and analytics for new AI models.</li></ul> 
<ul><li>Drive innovation in key focus areas including packaging materials, building materials, and alternative fuels.</li></ul> 
About the team 
Diverse Experiences: 
World Wide Sustainability (WWS) values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Inclusive Team Culture: 
It&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth: 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Work/Life Balance: 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience</li><li>PhD, or Master's degree and 5+ years of quantitative field research experience</li><li>Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.</li><li>Experience communicating qualitative research methods and findings to non-qualitative researchers</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience converting research studies into tangible real-world changes</li><li>Experience with discrete and continuous optimization methodologies and algorithms</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Research Scientist III, WW Sustainability

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