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Generation Engineer remote jobs

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  • Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

    Enigma 4.2company rating

    Remote job

    Title: Machine Learning Engineer Responsibilities: Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost). Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization. Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality. Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production. Define and track performance and cost KPIs; run continuous improvement loops and capacity planning. Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations. Educational Qualifications: Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master's preferred (or equivalent industry experience). Strong systems/ML engineering with exposure to distributed training and inference optimization. Industry Experience: 3-5 years in ML/AI engineering roles owning training and/or serving in production at scale. Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements. Experience collaborating across Research, Platform/Infra, Data, and Product functions. Technical Skills: Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers. Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Write performant, maintainable code Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
    $129k-183k yearly est. 2d ago
  • HL7 Integration Engineer/Developer with Epic Bridges Certification

    Vertex Elite LLC 4.7company rating

    Remote job

    Dear All, Vertex Elite is currently seeking a qualified HL7 Integration Engineer/Developer with Epic Bridges Certification to join our team. If you or someone you know is interested, please feel free to reach out for more details or share your updated resume. Work Authorization : USC or Any valid USA work authorization Job Type : Contract Location : 100% Remote Required Skills and Qualifications Active Epic Bridges Certification (must-have). Strong experience in HL7 interface development, integration, and troubleshooting. Strong proficiency with Intersystems HealthConnect including productions, business services, business processes, and transformations Experience supporting clinical applications and provider workflows within healthcare systems Exposure to Cloverleaf interface engine and TCL scripting for interface development (good to have, not mandatory) With Best Regards, Rama Raju | Vertex Elite LLC | E-Verified Company | ********************
    $87k-116k yearly est. 3d ago
  • Machine Learing/AI Engineer

    Neteffects 4.3company rating

    Remote job

    Fully Remote $75-80/hr. W2 with benefits Machine Learning/AI Engineer T-shaped skill - Will be working with Python, FastAPI's, and Data Pipelines This position requires a knowledge/familiarity with Accounting/Finance areas due to the areas you would be working with (GL, AP, P&L, Accruel, etc) The company is focused on Data and AI. Using Machine Learning and operational research to create an application to help several verticals with: Massive scale data migrations, conversions, enrichment & curation Surface workflows delivering equipment lifecycle optimization Geospatial, IOT platforms embedding spatial analytics Creation and integration of ML & OR models across different domains They have over 250 years of experience on the team now between 17 people. Have IntelliJ, AWS, Google AWS partner, Microsoft supplier and IBM business partner Why work here? Everything is new development Teaming first - Agile 2 weeks sprints, full transparency front end to end. You bring value to the table and have your own identity with the customer, no overhead. They are just a development org. You present directly to the customer and can show them the value you are providing. You have full autonomy to operate. Run your own sprints, present their work, demos with client. No layers. Weekly sessions doing demos for people to learn and catch up Rock solid team, everyone is qualified and and has strong skills They will learn a lot and it will be an ecosystem of capabilities, skill sets and they can share knowledge with each other. Communicate openly and honesty Inclusion in all conversations. No difference for contractors.
    $75-80 hourly 3d ago
  • Senior Mobile Engineer - React Native - $180K - $290k - Hybrid- Start Up

    James Chase

    Remote job

    Senior Mobile Engineer - React Native - $180K - $290k - Hybrid - Start Up James Chase Solutions is currently looking for an experienced Senior Mobile Engineer- React Native for my fantastic Start Up client based in the San Francisco. You'll work in small, elite teams alongside colleagues from Product, Design, and Data to achieve the best possible outcomes for the learners and the business. Main duties - Scale up our business by designing, building, and supporting easy-to-use mobile applications Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security Advocate for high standards; make quality-of-life improvements to the codebase; and help limit the growth of technical debt Build deep user empathy and maintain a user-centric mindset Communicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You'll work with other disciplines including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the company Mentor and learn from other engineers You will be a highly experienced Android Engineer with strong experience of - Built and shipped mobile applications at scale (e.g., DoorDash, Uber, Lyft). Seen such companies grow at scale Deep expertise with Kotlin and Jetpack Compose 5 - 10 years of experience in overall mobile engineering, with at least 2 years in React Native Must be willing to work in-person minimum 3 days/week in SF Please note - I am not in the office and working from home on my mobile, so will get in touch ASAP if your application is successful. Should you possess the correct skills and experience for this position, we will be in touch with you within 7 days of the receipt of your CV. Should you not hear from us within this time frame, you have not been successful on this occasion. We wish you every success in your search for suitable employment.
    $180k-290k yearly 5d ago
  • Senior Power Platform Engineer (455002)

    Vaco By Highspring

    Remote job

    Senior Power Platform Engineer | 455002 DETAILS 6M C2H Hourly / Salary: to $180K+ Vaco Technology is currently seeking a Senior Power Platform Engineer for a 6M C2H opportunity that is 100% remote. The Senior Power Platform Engineer will lead the design, development, and governance of enterprise-grade solutions built with Power Apps, Power Automate, PowerBI, and Dataverse. The Senior Power Platform Engineer will partner with business and IT leaders to modernize processes, enhance data-driven decision-making, and scale low-code capabilities across the organization. The ideal candidate brings deep hands-on engineering expertise, strong architectural judgment, and the ability to mentor delivery teams while ensuring solutions meet security, compliance, and performance standards. Solution Architecture / Delivery - Lead full lifecycle Power Platform architecture and delivery spanning Power Apps (Canvas / Model-driven), Power Automate (cloud flows / RPA), PowerBI, and Dataverse | Translate complex business needs into scalable, secure, maintainable designs aligned to enterprise roadmap Standards / Patterns / Reuse - Define and implement enterprise Power Platform standards, architectural patterns, and reusable components to accelerate delivery and minimize technical debt Dataverse Architecture - Design robust Dataverse data models (tables / relationships / security roles / business rules) with strong performance tuning and maintainability practices Power BI Modeling - Build and optimize semantic models, DAX measures, dataflows, and dashboards with a focus on performance, usability, and governance Integration Architecture - Integrate Power Platform with M365 / Azure services (Functions / Logic Apps / API Management) and third-party systems via connectors, APIs, and custom connectors Environment Strategy / ALM - Own and evolve environment topology, solution packaging strategy (managed / unmanaged), environment variables, pipeline automation, and source control practices Governance / Security - Establish and enforce governance controls (DLP policies / RBAC / auditing / monitoring / change management) ensuring enterprise security and compliance Mentorship / Enablement - Mentor engineers, makers, and analysts through technical reviews, architectural guidance, and hands-on enablement Cross-Functional Alignment - Collaborate with security, risk, data, and enterprise architecture teams to ensure regulatory compliance and alignment with organizational standards Troubleshooting / RCA - Resolve complex production issues; perform root-cause analysis and implement long-term preventive improvements Documentation - Produce high-quality technical documentation, architecture diagrams, runbooks, and user enablement materials About the Project: Our client (MSP) has just won a flagship, enterprise-wide support contract with a Fortune 200 client that has fully replaced its direct Microsoft support with their services. To deliver immediate white-glove support, they are building a dedicated 6-person Microsoft Engineering Team, including 2 D365 F&O Administrators, 2 Modern Workplace / M365 Generalists, 1 Power Platform Engineer, and 1 Azure Engineer. These are all is a high-visibility roles that demands strong technical depth, exceptional customer-facing communication, composure under pressure, and the ability to multitask across high-volume tickets. JOB REQUIREMENTS Power Platform Engineer (5+ years) - Application development / automation / analytics or related engineering roles with 4+ years of deep, hands-on Power Platform delivery supporting complex enterprise initiatives Solution Design Leadership - Proven ability to lead end-to-end solution design and implementation for large-scale, multi-environment Power Platform programs Power Apps Expertise - Advanced proficiency across Canvas / Model-driven apps / component framework (PCF), complex UX patterns / performance optimization Power Automate Expertise - Advanced experience with complex flow orchestration, integrations, error handling, approval frameworks, and Power Automate Desktop (preferred) Dataverse Architecture - Strong Dataverse experience including data modeling, security architecture / RBAC, solution layering, environment variables, and performance tuning PowerBI Development - Strong semantic modeling, DAX, Power Query / dataflows, and dashboard performance optimization ALM / DevOps - Hands-on experience implementing ALM using Solutions, pipeline automation, and source control in Azure DevOps or GITHub Integration / APIs - Working knowledge of REST APIs, JSON, authentication patterns (Entra ID / OAuth), and connector-based integration Communication / Stakeholder Management - Demonstrated ability to interface with both technical and non-technical stakeholders and communicate complex solution decisions Delivery / Execution - Proven ability to lead multiple priorities simultaneously and consistently deliver high-quality outcomes in fast-paced enterprise environments PREFERRED (not required) Microsoft certifications: PL-200 / PL-300 / PL-400 / PL-600 (or equivalent) Experience with Azure integration services (Functions / Logic Apps / Service Bus / API Management) Experience establishing or operating a Power Platform Center of Excellence (CoE) Enterprise data platforms (SQL Server / Azure SQL / Synapse / Fabric) and data governance practices Regulated environments (healthcare / finance / public sector) with strong security and compliance requirements Process improvement background (Lean / Six Sigma / BPM) Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
    $180k yearly 3d ago
  • Senior AI Engineer

    Harrison Clarke

    Remote job

    Senior AI Engineer - Video Search (Applied Research & Product) Remote - United States About the Company We're partnering with a U.S-based applied AI company building next-generation real-time video understanding systems deployed at scale across enterprise, government, and public environments. The platform combines cutting-edge multimodal AI, vector search, and high-performance inference pipelines to make visual data searchable, interpretable, and actionable in real time. This is a chance to join a well-funded, mission-driven organization with over tens of thousands of active camera streams and a rapidly growing R&D team pushing the boundaries of multimodal retrieval and AI systems design. The Role We're looking for a Senior AI Engineer to lead the applied research and productionization of our video search and retrieval stack - connecting natural-language queries to high-dimensional video representations with real-time performance. You'll work at the intersection of deep learning research, scalable systems, and GPU-optimized inference, owning models and pipelines end-to-end from training through deployment. What You'll Do Design and build natural-language-to-video retrieval systems using state-of-the-art architectures (e.g., V-JEPA, CLIP, SigLIP, Video-LLMs, ViViT, TimeSformer). Develop temporal localization and video summarization capabilities with fine-grained moment-level embeddings. Stand up vector search infrastructure (FAISS, Milvus, pgvector, Pinecone) with optimized sharding, caching, and hybrid retrieval strategies. Optimize GPU inference and serving pipelines using ONNX Runtime, TensorRT, or ROCm for low-latency performance. Drive multi-GPU training and distributed serving (FSDP, ZeRO, DDP, NCCL/RCCL) with strong understanding of parallelization and quantization techniques. Collaborate with MLOps, backend, and product teams to deliver production-ready AI features at scale. Define and track key retrieval and relevance metrics (R@K, mAP, nDCG) and run live A/B evaluations. Mentor junior engineers, document design decisions, and drive innovation through rigorous experimentation. What We're Looking For 6-10+ years of experience in machine learning or applied AI, with 4+ years focused on video understanding, multimodal retrieval, or transformer-based models. Proficiency in PyTorch and deep learning frameworks; experience with video backbones, contrastive training, and representation learning. Strong understanding of vector databases, ANN search (HNSW, IVF), and embedding pipelines. Demonstrated ability to ship high-performance AI systems with GPU optimization, ONNX/TensorRT, or ROCm pipelines. Experience with distributed training, CI/CD for ML, and scalable data pipelines (MLflow, W&B, K8s, Docker). Excellent communication skills and a collaborative, low-ego approach to problem solving. Nice-to-Haves Experience with temporal detection, video tracking, or re-ID. Exposure to Video-RAG or structured retrieval (metadata + knowledge graph). Background in real-time or edge inference systems. Interest in privacy-preserving or regulated AI systems. Compensation & Logistics Compensation: Competitive base salary + bonus + equity Location: Fully remote (U.S. based) Why Join Build real-world AI that operates at scale and latency levels few companies ever reach. Collaborate with world-class engineers and researchers in a fast-paced, mission-oriented environment. Work on deep technical challenges - multimodal search, retrieval, inference optimization - with real-world outcomes.
    $117k-164k yearly est. 1d ago
  • USC/GC Only :: Lead Databricks Engineer || Houston, TX (Hybrid Onsite)

    Ampstek

    Remote job

    Role :: Lead Databricks Engineer Duration :: Long Term Contract Strong Databricks positions as below. One of these is old one but again refloating as we didn't get quality profiles for that. None of them was qualified until now. 1. Lead Data Engineer - (Preferred Houston, weekly travel on a regular basis otherwise) a. Relevant experience to be more than 8-9 years, Strong and proficient in Databricks, DLT (Delta Live Tables) framework and Pyspark, need excellent communication
    $70k-100k yearly est. 1d ago
  • Senior AI Engineer

    Neudesic, An IBM Company

    Remote job

    AI Engineer About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. Neudesic, an IBM Company, is a trusted technology partner in business innovation, delivering impactful business results to clients through digital modernization and evolution. We specialize in providing services and solutions that drive digital transformation, leveraging our expertise in cloud, data, and AI technologies. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, disciplined to the core, innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Position Overview: We are seeking a Mid-Level Modern AI Engineer to join our growing App Innovation practice. This role involves designing, developing, and deploying AI solutions using Microsoft Azure technologies, with a focus on generative AI, agentic AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have a strong foundation in AI/ML, experience with Azure AI services, and the ability to work collaboratively in a consulting environment. Key Responsibilities: AI Solution Development & Deployment: Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel. Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications. Project Delivery & Client Engagement: Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives. Work in both project-based and staff augmentation roles, adapting to various client environments and requirements. Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions. Model Validation & Quality Assurance: Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance. Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness. Stay current with industry trends and best practices in AI technology, incorporating them into solution development. Preferred Consulting Experience: Collaborate with sales and delivery teams to design AI solutions that meet client needs. Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions. Conduct technical presentations and demonstrations to clients and stakeholders. Education & Experience: Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable) 3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs. Experience in a consulting environment, engaging with clients and delivering tailored solutions. Technical Skills: Proficiency in programming languages such as Python or C#. Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI. Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex. Model selection, validation, and workload optimization. Knowledge of data processing and pipeline development using Azure Data Factory or similar tools. Understanding of MLOps practices and tools for model lifecycle management. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and as part of a team in a dynamic, fast-paced environment. Preferred Qualifications: Microsoft Certified: Azure AI Engineer Associate or similar certifications. Experience with containerization and deployment tools such as Docker and Kubernetes. Familiarity with responsible AI principles and practices. Why Join Neudesic? Opportunity to work on cutting-edge AI projects across various industries. Collaborative and inclusive work environment that values innovation and continuous learning. Access to professional development resources and training programs. Competitive compensation and benefits package. For Colorado, the expected salary range for this position is between $100,000 and $165,000. The salary range may be different if the successful employee is in a different state. This position is also eligible for performance bonuses. The actual compensation will be determined based on experience and other factors permitted by law. Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Employment Opportunity Employer Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************
    $100k-165k yearly 1d ago
  • Lead Engineer - Ericsson Site Digital Twin (ESDT) Program

    Fusion Solutions, LLC 3.8company rating

    Remote job

    Hello Fusion Solutions is looking for a lead engineer- Plano, TX. If this is of interest, please send me your resume with your month and day of birth, I will send you the Right To Represent email and request for your authorization. I will call you once I receive your resume. Thank you! My Contact Details: (332)- 237-7666 / Email: ****************************** Details of the role are listed below. Thank you! Title: Lead engineer/Project Manager Location: Plano, TX (remote will be consider) Duration: 12 Month Start Date: Dec 2025 Pay rate: $25 W2 + $35 Per Diem - Total: $60/hr Description: We are looking for a lead engineer to be part of the Construction and Engineering team leading the overall delivery for Site Digital Twin program for all customers in US and Canada. The ESDT team digitizes the Telecom infrastructure into BIMs for both ground and tower top. In this role, you will be part of a team that manages the end-to-end process from drone capture to BIM delivery to all our customers in US and Canada. You will work independently and in a team environment to achieve organizational goals/target. Responsibilities: • RF Equipment knowledge. Both general knowledge and installation practices. Radios, Antennas, Mounts, Cabinets, Shelters, Batteries, Power plants, etc. • Understanding customer network and equipment practices. RAN knowledge, Equipment handling (asset tags), Equipment database, Scoping, Drivers, Engineering and Design. • Develop, Document and Optimize the quality process for all ESDT related programs. • Interface between AT&T, product teams, executives and offshore teams when developing customer deliverables. (CD formatting, quality reporting, Payload quality). Management of the product as well as the team of over 800 required. • Must be able to adapt processes and delivery model to new products being developed. For example: New delivery requirements for CD's/BIM, Product growth, Small Cell, In-building or Microwave. • Customer Management: Consultative with an ability to communicate clearly and manage customer requirements. Lead customer discussions on production volumes, performance OKRs and issues. • Drive process improvements to bring efficiencies • Demonstrated results driving complex innovation opportunities with meaningful cost savings or add-on sales. • Excellent presentation, verbal and written communication skills. The role requires regular presentations to internal executives and customer and exceptional consultative skills • Ability to operate with a high degree of independence, while managing project and customer expectations • Leads delivery for several customer accounts, regions, and markets. • Leads remote engineering teams and is a leader of technology (product solution, process, knowledge sharing etc) • Identifies & develops new service offerings, including new delivery methods, scopes, tools, and cost models. • Expertise with RAN and shelter equipment including ancillary equipment MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: • Min 8 years of telecommunication experience managing/leading large-scale operations (1000s of sites) • 5 years' experience managing/leading customer delivery directly • Bachelor or master's degree in engineering or project/program management or vendor management experience • Proficient in English, written and spoken • Past experience with ESDT (Ericsson Site Digital Twin) is a plus Remote opportunity would be considered but only for highly qualified candidate.
    $25 hourly 4d ago
  • Remote Senior Machine Learning Engineer - LLM Evaluation / Task Creations (India Based) - AI Trainer ($35-$35 per hour)

    Mercor

    Remote job

    ## **Role Description** Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled **Machine Learning Engineers** with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation. **Candidates should have 3+ years of applied ML experience or a strong record in competitive ML, and must be based in India.** Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices. * * * ## **Responsibilities** - Frame unique ML problems for enhancing ML capabilities of LLMs. - Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. - Run rapid experimentation cycles, evaluate model performance, and iterate continuously. - Conduct advanced feature engineering and data preprocessing. - Implement adversarial testing, model robustness checks, and bias evaluations. - Fine-tune, evaluate, and deploy transformer-based models where necessary. - Maintain clear documentation of datasets, experiments, and model decisions. - Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward. * * * ## **Required Qualifications** - At least **3 years** of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent) - Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings) - Strong proficiency in **Python**, **PyTorch/TensorFlow**, and modern ML/NLP frameworks - Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures - Experience with distributed training, ML pipelines, and experiment tracking - Strong problem-solving skills and algorithmic thinking - Experience working with cloud environments (AWS/GCP/Azure) - Exceptional analytical, communication, and interpersonal skills - Ability to clearly explain modelling decisions, tradeoffs, and evaluation results - Fluency in English * * * ## **Preferred / Nice to Have** - Kaggle **Grandmaster**, **Master**, or multiple **Gold Medals** - Experience creating benchmarks, evaluations, or ML challenge problems - Background in generative models, LLMs, or multimodal learning - Experience with large-scale distributed training - Prior experience in AI research, ML platforms, or infrastructure teams - Contributions to technical blogs, open-source projects, or research publications - Prior mentorship or technical leadership experience - Published research papers (conference or journal) - Experience with LLM fine-tuning, vector databases, or generative AI workflows - Familiarity with MLOps tools: Weights & Biases, MLflow, Airflow, Docker, etc. - Experience optimising inference performance and deploying models at scale * * * ## **Why Join** - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems. - Work on high-impact machine learning challenges while experimenting with advanced modelling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (**30-40 hrs/week or full-time**) - ideal for ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems. - Fully remote and globally flexible - optimised for deep technical work, async collaboration, and high-output research environments.
    $83k-123k yearly est. 7d ago
  • Lead Python Engineer

    Market Street Talent, Inc.

    Remote job

    Could you be a good fit? We are looking for the best, highly skilled Lead Python Engineer to join the team of our innovative client. This fully remote role blends hands-on Python development, cloud platform expertise, front-end modernization, and leadership in establishing best practices and processes. Benefits: • Fully remote • Healthcare Medical, Dental, and Vision Insurance • 401k What will your day look like? As a Lead Python Engineer, you will: • Evaluate, refactor, and rewrite the existing Python back-end as needed • Plan and execute front-end modernization using React • Introduce robust cloud infrastructure and monitoring solutions (e.g., GCP, Datadog, PagerDuty) • Implement development best practices, including CI/CD, automated deployments, and code quality standards • Support proof-of-concept work for new customers while ensuring production readiness • Mentor and delegate work to junior developers when needed • Make architectural decisions to ensure scalability, reliability, and software stability • Stay up to date on AI-assisted coding tools (Copilot, Replit, Claude, etc.) to improve productivity You will be a good fit for this Lead Python Engineer role if you have: • Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or related field • 5+ years of experience with Python back-end development • Experience with front-end frameworks, preferably React • Familiarity with cloud platforms (GCP preferred) and infrastructure setup/monitoring • Strong software engineering practices, including CI/CD, automated testing, and deployment pipelines • Optional: prior experience managing or mentoring developers Nice-to-Haves: • Exposure to AI/ML workflows or data science applications • Experience with AI-assisted coding tools • Familiarity with mobile application development About Market Street Talent We are a specialized staffing and consulting firm focused on IT and technology positions. Our deep industry knowledge allows us to match exceptional candidates with organizations where they can thrive and make an immediate impact. Our Vision: To promote and foster the growth of information technology (IT) in our world-one candidate, one client, one community at a time. Our Goal: To guide clients and candidates through the placement process and build long-term, successful relationships. Our Culture: At MST, we value excellence, respect, and empathy in everything we do. Sound like you? Ready for your next challenging IT opportunity? Click “Apply Now”!
    $70k-101k yearly est. 3d ago
  • Sr. AI Engineer - Contract - Remote - 6 months+

    Resource 1, Inc.

    Remote job

    Resource 1 is seeking a Senior AI Engineer for a long-term, remote contract with our client in the Healthcare industry. Initial contract duration is 6 months, with expected extensions. This can be done 100% remotely from anywhere in the US. Selected individual will be brought in to help develop and deliver next-generation AI solutions across the healthcare enterprise. This role is hands-on and ideal for an engineer experienced in building GenAI and multi-agent systems using modern AI frameworks and Google Cloud Platform (GCP). Will collaborate closely with other engineers to design, build, test, and optimize AI capabilities within a scalable production environment. Key Responsibilities: Develop and enhance enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks, using tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration. Contribute to the design and implementation of RAG pipelines using BigQuery and Vertex AI for knowledge grounding and factual response accuracy. Implement and tune agent reasoning workflows including orchestration, grounding, decision-making, and multi-step reasoning. Build and support distributed training workflows, online inference systems, and low-latency serving architectures leveraging Google Cloud services. Develop secure and scalable AI components including reusable orchestration layers, connectors, and observability hooks. Participate in developing agent governance and compliance frameworks aligned with enterprise standards. Translate business features and requirements into technical implementation tasks and contribute to solution design discussions. Support deployment pipelines, operational monitoring, troubleshooting, and optimization of production AI systems. Required Qualifications: Degree in Computer Science, AI/ML, or related technical field. Hands-on experience in Generative AI and agentic AI development. 4-5 years of total experience in AI/ML engineering or applied machine learning. Experience building and deploying production AI/ML systems. Solid understanding of modern model architectures including transformers, embeddings, and prompt engineering concepts. Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) and Google Cloud native AI services. Experience with one or more agent frameworks (i.e. Google ADK/ Agentspace, LangChain/ LangGraph, LlamaIndex, CrewAI or AutoGen) Python and LLM integration, including MCP and A2A orchestration. Experience with Kubernetes, Cloud Run, Dataflow or Pub/Sub. Preferred Qualifications: Experience with AI observability, responsible AI frameworks, and model monitoring tools (Vertex AI Monitoring, BigQuery logging, Looker dashboards). Experience with multi-modal models and/or advanced optimization strategies. Contributions to open-source AI tooling or published applied work.
    $85k-113k yearly est. 4d ago
  • Distinguished Machine Learning Engineer- Capital One Software (Remote)

    Capital One 4.7company rating

    Remote job

    Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelors Degree At least 7 years of experience in Software Engineering At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: Masters' Degree 7+ years of experience using Python, Java, Go, and SQL 6+ year of experience deploying machine learning models Ability to understand deploying Machine Learning models in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
    $87k-111k yearly est. 12h ago
  • Backend Engineer - Generative AI

    Insight Global

    Remote job

    A large healthcare client of Insight Global is reimagining pediatric healthcare through AI. You'll architect, build, and maintain our Generative AI platform, powering intelligent assistants, automating workflows, and enabling ML-driven decision support. This hands-on role is ideal for engineers passionate about ML infrastructure, backend systems, and real-world impact. Key Responsibilities - Architect and build scalable infrastructure for GenAI applications. - Develop robust backend systems for conversational AI, vector databases, and LLM orchestration. - Create APIs, services, and frameworks for rapid AI feature deployment. - Collaborate with ML researchers and cross-functional teams to identify development priorities. - Ensure platform reliability, security, and compliance (HIPAA, PHI). - Implement observability, testing, and governance for LLM-based applications. - Maintain infrastructure as code (IaC) and CI/CD pipelines. - Integrate open-source and third-party tools (LangChain, Weaviate, Pinecone, Azure OpenAI, Vertex AI). Eligible States for Remote Work: AZ, FL, CA, GA, KS, ID, MO, NV, NC, TN, TX, WY We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5+ years of industry experience in software engineering - Strong software engineering skills - Experience building large-scale distributed systems - Experience developing ML and GenAI applications - Proficiency in Python and backend frameworks (e.g., FastAPI, Flask) - Experience with cloud platforms (preferably AWS) and tools like Docker and Kubernetes - Strong knowledge of API development, microservices, and serverless architectures - Experience with LLMs, retrieval-augmented generation, and vector database solutions - Effective communication skills and ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders - Familiarity with tools such as LangChain, LlamaIndex, Pinecone, Weaviate, or FAISS - Experience deploying or managing OpenAI/Vertex AI integrations - Knowledge of healthcare data standards and privacy regulations (e.g., FHIR, HIPAA) - Experience with Databricks, Spark, or similar distributed data platforms - Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab) - Bachelor's degree in Computer Science or related discipline - Experience with application performance tuning and optimization - Experience with MLOps or deploying machine learning models in production - Experience with JavaScript (React, Node.js)
    $96k-140k yearly est. 27d ago
  • Staff Protocol Engineer, EVM

    Ava 4.5company rating

    Remote job

    Applicant Privacy Notice Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO Maintain and advance Avalanche's EVM-compatible chains. Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility. Here are some specific examples of projects you will contribute to: libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts. Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy. WHAT MAKES YOU A GOOD FIT A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there. Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. You feel at home in a hacker culture. You believe that creativity is not just limited to the arts. You understand the rules of the system primarily so you can bend them. WHAT YOU WILL BRING Highly proficient in Golang; the language and its primitives are second-nature to you, and you are comfortable mentoring others. Independent Solidity experience; you are comfortable deploying a smart contract to production. Deep knowledge of the life of an EVM transaction, from wallet to opcode. Demonstrable experience with geth internals are a bonus. Salary Range: $253,479 to $269,321 ( **This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location. NYC metro candidates are required to be in office 2-3x/week, with exceptions.) #LI-Remote #LI-DS1 WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we're proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.
    $80k-121k yearly est. Auto-Apply 4d ago
  • Staff Engineer, API

    Asana 4.6company rating

    Remote job

    Asana's API gives external developers the power and flexibility to extend Asana's functionality in creative ways that Asana doesn't yet provide. In turn, this rich ecosystem of apps, integrations, and scripts helps us ensure that Asana can support every customer use case out there - no matter how big or small the team, and no matter which tools or workflows they use. The API team at Asana builds the Developer Platform that makes this possible; we own the gateway that facilitates data flow in and out of Asana. We're looking for an experienced Technical Lead to help us make our Developer Platform come to life, driving execution and technical vision for the team. Your scope will range from assisting product teams in exposing new functionality via the API, to overseeing foundational changes to our API's core features and security model, to rearchitecting the underlying API frameworks for simplicity and ease-of-use, to mentoring and growing the engineers and developer advocates on the team. If you care deeply about building effective developer experiences and high-performing engineering teams, then we'd love to hear from you! This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve * Set the technical strategy for the API platform within Asana and advocate for engineering-driven investments, with a vision for keeping our systems flexible and maintainable to meet customer needs now and in the future * Drive the team to continually and holistically better itself, enabling the engineers around you to deliver at a high velocity while helping them grow their skills in the process * Be a key collaborator with other groups in Engineering and a technical counterpart to the API team's Engineering Manager, serving as a public face for API engineering and representing our interests across team boundaries * Partner with Product Management, Design, Data Science, and User Research to deeply understand developer needs, and then propose elegant solutions to meet them * Own and shape the guidelines for what good API design looks like, partnering with product engineering teams to help them implement those best practices in a self-serve manner * Develop across the entire stack to make developers' experiences better by writing clean, beautiful code and leaving things better than you found them: this includes writing Scala, Javascript, and Typescript About you * 6+ years of experience working in large codebases * 2+ years leading engineering teams * 1+ years building public-facing API products or Developer Platforms * Excellent communication, collaboration, and delegation skills * Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles * Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others * Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback * Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team * Demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $248,000 - $316,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: * Mental health, wellness & fitness benefits * Career coaching & support * Inclusive family building benefits * Long-term savings or retirement plans * In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AS2
    $248k-316k yearly Auto-Apply 60d+ ago
  • Staff iOS Engineer

    Faire 3.8company rating

    Remote job

    Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Our mobile apps are crucial to Faire's vision: Empowering entrepreneurs to chase their dreams. We believe in empowering retailers to run their business from their pocket through a world-class mobile app. We are passionate about stunning design, exceptional user experience, and robust engineering practices, ensuring our software is secure, tested, easy to maintain, responsive, and performant. We embrace an iterative approach, building minimum viable products, deploying to production weekly, A/B testing customer-facing changes, and continually refining based on data. We are seeking a Staff iOS Engineer to join our Discovery pillar. This engineer will be aligned with the pillar's mission, working on some of our most important projects. We help retailers find exactly what they're looking for on Faire, evaluate it as a product in their stores, and efficiently trial or purchase the product. This role will also help set the technical vision for our iOS and improve the overall iOS architecture as a valued member of our staff engineering team in the larger iOS team at Faire. The Discovery pillar drives our market growth by tuning Faire for each retailer, showcasing products that inspire business growth, helping them understand what will sell in their segment, and making it easy for them to expand into brands they may not have otherwise found. Discovery owns a significant amount of Faire's revenue and the ability of our engineers to have an impact on Faire's business is high. As a Staff iOS Architect, you'll collaborate with us to: * Lead critical projects within the Discovery pillar, contributing directly to the core business objective of helping retailers find what they're looking for. * Collaborate with a talented team of backend and frontend/mobile developers to deliver a compelling product. * Work with the broader mobile development team at Faire to solidify and grow our mobile architecture, establishing best practices and driving innovation. * Coach and mentor mobile engineers in a fast-paced environment, fostering a culture of technical excellence. * Improve the quality of our mobile apps through comprehensive testing strategies and a focus on long-term architectural health. * Improve the iOS architecture, addressing technical debt and implementing forward-thinking solutions. We're excited about you because you have: * 6+ years of iOS experience, having worked on multiple apps shipped to the App Store, with a strong portfolio demonstrating architectural contributions. * Experience shipping and maintaining a mobile app over an extended period of time, with a proven track record of working with mobile apps at scale or having helped apps scale to millions of users. * A passion for programming alongside strong problem-solving and architectural abilities, with a focus on elegant and scalable solutions. * A love for technology, and an insatiable curiosity for new tools to solve real problems, always seeking to innovate and improve. * Previous experience on a platform team and a passion for scaling systems for a growing organization and user base, with a deep understanding of mobile infrastructure. * A high bar for engineering excellence and a commitment to delivering high-quality, performant, and maintainable code. * Curiosity to drive engineering impact outside of the iOS tech stack, demonstrating a holistic understanding of software systems. Technologies we use and teach: * Swift * SwiftUI, UIKit * Swift Concurrency * Protocol Buffers * Bazel Salary range: San Francisco: the pay range for this role is $224,000 - $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire * We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. * We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. * We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. * We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************
    $224k-308k yearly Auto-Apply 46d ago
  • Jr. Reverse Engineer - FS Poly

    Stanleyreid

    Remote job

    Looking to make a big impact within a close-knit team? Our client, established in 2012, is a leader in providing top-notch IT solutions for critical government clients that defend national security. They tackle challenging projects across various tech domains, including enterprise software, data analytics, DevOps, Cloud, AI/ML, and cybersecurity. Unlike many contracting firms, they boast exceptionally low employee turnover, fostering a stable and supportive work environment where you can truly grow your career. They understand the importance of flexibility, offering remote work options on multiple contracts and a culture that respects your personal time. Competitive salaries, over 5 weeks of PTO, direct 401k contributions, comprehensive health insurance, and bonuses make this an incredibly rewarding place to work. Regular team events, open communication, and ongoing check-ins ensure you feel valued and heard, fostering a positive and collaborative work environment. If you're looking for a company that invests in the success of your career and well being, our client might be the perfect fit. They are seeking Jr. Reverse Engineer to join their team. Required: -Experience with Ghidra, IDA Pro, or similar -Experience with C/C++, Python, or Assembly -Experience common binary formats -Experience with CNO development, malware analysis, or Windows internals -Experience with Wireshark or similar The work is located in Annapolis Junction, MD and requires a TS/SCI + FS Poly. Apply @ ********************************* or contact our team for more info: **********************, ********************************.
    $61k-84k yearly est. Easy Apply 60d+ ago
  • Jr. Cybersecurity Engineer

    Imagineeer

    Remote job

    Benefits: 401(k) Dental insurance Health insurance Paid time off Vision insurance Job title: Cybersecurity Engineer Level: Jr. Location / Work type: Remote/Full-Time Clearance: Must be able to get a Public Trust About the Company: Imagineeer is leading the charge in data transformation, impacting sectors from healthcare to government operations, green energy, supply chain, and sports. Leveraging cutting-edge technologies like AI, post-quantum security, and blockchain, we empower decision-makers and fortify data security. We specialize in federal agency modernization; we collaborate closely to transform operational ecosystems, addressing unique challenges with acquisition support and stakeholder communication. Imagine Lab, our digital think tank, explores innovation through employee engagement and machine-generated insights. If you're passionate about reimagining operations and empowering organizations to evolve proactively, join us in shaping the future. About this Role: We are seeking an enthusiastic Junior Assessment & Authorization (A&A) Cybersecurity Engineer to support the security compliance and authorization processes for our federal government clients. This is an entry-level opportunity designed for individuals who have a foundational understanding of cybersecurity or IT and are eager to grow their careers in federal cybersecurity. The ideal candidate will demonstrate a willingness to learn, collaborate with senior cybersecurity professionals, and develop expertise in federal security compliance frameworks, including the NIST Risk Management Framework (RMF) and FISMA requirements. Key Responsibilities: Assist in gathering, organizing, and maintaining documentation for security authorization packages Support the development and upkeep of System Security Plans (SSPs) Help track and document Plans of Action and Milestones (POA&M) Participate in security control assessments (SCA) under the guidance of senior staff Assist in vulnerability scanning, tracking, and basic analysis Maintain and update various security compliance documents Collect and organize evidence for security controls implementation Support continuous monitoring (ConMon) tasks to maintain system authorization Participate in security meetings, working groups, and status reviews Learn and apply the NIST Risk Management Framework (RMF) to real-world projects Assist in preparing basic security documentation, reports, and checklists Support system inventory maintenance and asset management Help track security metrics and contribute to report generation Assist with basic security testing activities under supervision Qualifications and Skills: Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field 0-2 years of experience in cybersecurity, information technology, or related areas CompTIA Security+ certification (or the ability to obtain it within 6 months of hire) Ability to obtain and maintain a Public Trust clearance Basic understanding of cybersecurity principles and concepts Familiarity with NIST frameworks and standards, such as NIST 800-53 General knowledge of security controls, risk management, and compliance processes Strong attention to detail and commitment to producing accurate documentation Good organizational skills with the ability to manage multiple tasks simultaneously Basic technical writing and documentation skills Proficiency with Microsoft Office tools (Word, Excel, PowerPoint) Ability to follow detailed instructions and standard operating procedures Demonstrated aptitude for learning and applying new concepts and technologies Good verbal and written communication skills Team-oriented mindset and willingness to collaborate Basic understanding of networking concepts (e.g., IP addresses, firewalls, protocols) Strong desire and willingness to learn cybersecurity compliance frameworks and technologies Desired Skills and Competencies: Previous internship, co-op, or academic project experience in cybersecurity or IT Familiarity with the NIST Risk Management Framework (RMF) Understanding of FISMA compliance requirements Basic experience with vulnerability scanning tools (e.g., Nessus, Qualys) Exposure to security documentation (SSP, POA&M, SAR) Experience working with federal government systems or environments Additional cybersecurity certifications such as CAP, CEH, CASP+, or CISSP (Associate) Familiarity with documentation management systems (e.g., SharePoint, Confluence) Basic scripting or programming knowledge (e.g., Python, Bash, PowerShell) Exposure to Linux/Unix operating systems Familiarity with cloud computing concepts (e.g., AWS, Azure, FedRAMP basics) Experience with tracking tools such as JIRA or similar project management software Interest in pursuing a career in security compliance, governance, and risk management Additional Information: This is a remote position with required participation in virtual meetings and collaboration. Must be a U.S. Citizen capable of obtaining a Public Trust clearance. This is a remote position. Compensation: $80,000.00 - $90,000.00 per year About Us Our Approach We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence. We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments. Our Mission Imagineeer's mission is to empower transformation through the operationalization of intuition. We establish an innovation pipeline, reimagining operations by delving into data analysis to optimize outcomes for our valued customers. Collaborating closely with our clients, we strive to actualize the inherent genius embedded within their organizational structure. Our efforts focus on the transformation of organizations, emphasizing the development of foundational strengths in key areas, including data, personnel, hypothesis development, and the cultivation of a learning-from-failure mindset.
    $80k-90k yearly Auto-Apply 60d+ ago
  • Jr.Fullstack Engineer -Merrimack, NH

    Photon Group 4.3company rating

    Remote job

    We are looking for a highly motivated Full Stack Engineer to join our team. The candidate will be working on one of our top initiatives for our Banking Solutions product area. The candidate will be aligned under an IWMS chapter driving towards greater delivery, efficiency, and quality. While working to deliver business capabilities across a globally distributed team of IT professionals, the team continually strives to advance engineering excellence, technology innovation and agile practices. Must be a self-starter, able to work well with others, and communicate software changes to business partners, system analysts, QA engineers, etc. The Expertise We're Looking For Bachelor's Degree in Computer Science, Information Systems, or related field Solid foundation in Computer Science, with competencies in data structures, algorithms, and software design Experience with the following technologies (or similar): 6-9 years of development experience with strong working knowledge of Java and Spring/SpringBoot, Angular TypeScript, JavaScript, HTML5 and CSS3 Strong experience with web services (JSON, XML, REST, SOAP, YAML, etc.) Conversant in REST API authentication including OAuth, SAML and JWT Deep understanding of API design, including versioning, isolation, micro-services, and experience in detailing APIs using an API documentation framework (Swagger) Strong knowledge in application development with micro architectures. Strong knowledge of API gateways such as Stratum, WSO2, and Tomcat Experience with writing manual test cases as well as experience using test automation and frameworks like Cucumber, Karate, Insomnia Knowledge of logging and observability concepts and the usage of tools such as Datadog and Splunk Proven experience in building and deploying software solutions using public cloud provider services like AWS using Continuous Integration/Continuous Deployment (CI/CD) tools like Terraform, Jenkins, Udeploy Exposure to domain design, micro services architecture, data aggregation, service integration Ability to understand and adapt to changing business priorities and technology advancements Knowledge of end-to-end DevSecOps automation with CI and CD pipelines including Unit, Component, Functional, Performance, and Security test automation Certifications in, and working experience with, AWS Perform troubleshooting and triaging in Assist in production and nonproduction environment Standout colleague, self-starter, collaborative, innovative and eager to learn every day. Excellent communication and documentation skills. Ability to multi-task within various initiatives if needed 2-3 years of experience in Agile development Experience with Jira The Purpose of Your Role This role will focus on the design and development of IWMS products and services platform. The candidate will work with project managers, systems analysts, offshore resources, tech leads, quality assurance, and architects to build solutions that meet critical business needs. They should possess problem solving skills and be able to translate application storyboards and use cases into functional applications. The Skills You Bring Initiative and self-motivation Formal project life cycle methodology experience - waterfall and agile Organizational and presentation skills Willingness to explore and learn new technologies Understanding of building net new UI's as well as integrating with other applications and services Help maintain code quality, security, organization, and automation The Value You Deliver Design and implementation of software solutions that meet requirements and are aligned to the project/program strategic direction Adhere to engineering best practices and participate in design and code reviews Develop and maintain partnerships across the organization Work as part of a team in a collaborative environment to deliver an exceptional experience for our clients Expert understanding of the software development process including analysis, design, coding, system and user testing, problem resolution and planning Identify creative ways to drive desired outcomes and promote culture of innovation by setting examples Collaborate with peers through code reviews, pair programming or interactive discussions daily Follow outstanding software engineering practices and always looking to improve your engineering skills and industry knowledge Bring a data-driven and team approach to decision making, both in day-to-day work and in making strategic trade-offs Familiarity with delivering solutions to the market and having them scale for product growth with recognition of technology trends in implementing business applications Collaboration with business and technology partners to define and deliver our strategy and roadmap based upon business requirements Engage with distributed team of developers in leading standard methodologies for software engineering Compensation, Benefits and Duration Minimum Compensation: USD 36,000 Maximum Compensation: USD 126,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post
    $61k-81k yearly est. Auto-Apply 60d+ ago

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