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Top 10 highest paying companies that use TensorFlow

A ranked list based on compensation summaries found in recent job posts.

  1. #1

    Reddit

    2 months, 3 weeks ago

    $230K - $322K base + equity

    We are looking for a staff MLE to join the Ads Content Understanding team. This team looks at all of the reddit content in order to understand what people are talking about. We own the knowledge graph for the entire company, and we also produce a number of interpretable signals that are then used either for RAG type products or as features for models. This is a horizontal/platform team, all of our customers are internal, and most of them are within the ads space, but we’re doing some interesting things with organic shopping experiences on reddit. There’s a lot of upside to this role, we’re still nascent on our ‘commercial intent’ understanding (think - is this post comparing tokyo vs kyoto, or is this post at a later stage in the trip planning journey, it is comparing hotels in kyoto). The job posting does a solid job of describing the responsibilities and expectations for this role. It’s a mix of modeling, engineering, leadership. Please apply if you think there’s a good fit, the ideal candidate has both leadership experience as well as domain experience with content understanding. Team is roughly split into two pods, knowledge graph (mostly EU eng) and signals (mostly US eng). This would be a TL role for the signals pod, so east coast timezone would have the most overlap with our team and partner teams. We also have an open Senior MLE headcount for this signals pod, and are expecting more headcount in Q3.

  2. #2

    Adobe

    3 months, 3 weeks ago

    $208,300 - $301,600 base + Equity + Adobe benefits

    As a Forward Deployed Engineer at Adobe, you act as a technical ambassador for customers, splitting time between hands-on engineering (building AI-powered systems, APIs, and integrations) and direct collaboration with customer engineering teams. You build AI/ML and LLM systems including RAG pipelines, agents, prompt orchestration, and evaluation frameworks. You work with modern AI architectures and take systems from prototype to production, with strong Python and cloud skills, APIs, data analysis, and observability. You also guide implementations and drive measurable impact with strong communication.

  3. #3

    Smile ID

    1 year, 3 months ago

    $160k-$210k + equity

    We build Africa’s leading identity verification service, expanding access to secure financial services across the continent in a fast-growing market. We have built proprietary machine learning algorithms and a technology platform to cater for all skin tones, entry-level devices and low bandwidth. We perform 10M+ identity checks per month and are Series B funded with enough revenue to focus on getting to profitability.

  4. #4

    University of California, Davis

    2 years, 7 months ago

    Salary: $30k-$200k depending on job, experience, interview performance, and location (if working remotely)

    The University of California, Davis is an R1 research university in Davis, California, USA. It is part of the University of California system. It is a top 50 USA university.

  5. #5

    Dialogue AI

    9 months, 3 weeks ago

    $125-200K USD + equity

    Dialogue AI is building the future of customer research. Our platform brings together AI agents to help create studies, conduct interviews, and extract meaningful insights -- enabling teams to understand their customers faster and more effectively than traditional methods. As a founding engineer, you will work across product, infrastructure, and AI to deliver a customer-first product you can be proud of. You will collaborate directly with a founding team from leading tech companies and universities, shaping both the product and the culture as we scale. We're looking to hire 2-3 engineers to round out the founding team. Seed funding secured ~month ago in partnership w/ a top VC. Compensation: $125-200K USD + equity. If interested, you can email me directly at hubert@dialogueai.com or apply here: https://jobs.ashbyhq.com/dialogueai/687b6d39-cf6d-4767-bc83-

  6. #6

    Capital Technology Group (CTG)

    3 months, 2 weeks ago

    $150K–$200K

    Build and deploy production AI/ML solutions for federal clients, taking models from prototype to production in AWS. Work across Python, data pipelines, and cloud, evaluate new tools, mentor engineers, and lead small teams. Requirements include 7–10+ years of experience, production AWS experience, experience deploying ML systems with TensorFlow/PyTorch, and strong communication skills. Must be a US Citizen and eligible for Public Trust.

  7. #7

    Sobek AI

    1 year, 3 months ago

    $140-190 k + equity

    Sobek works with networks of research institutes, manufacturers, and pharmaceuticals leaders on frontier life science problems—where collaboration across organizational and IP boundaries is critical to innovation. Our agentic AI solution captures emerging best practices and learnings across these networks and delivers them to users for workflow evaluation, monitoring and continuous improvement. We are currently delivering on multi-million dollar contracts for R&D in mRNA and RNA vaccines, and for public health and emergency coordination, with plans to expand into broader life sciences and drug development.

  8. #8

    SuppMatch

    5 months, 2 weeks ago

    USD 85K–102K + Equity

    SuppMatch is an AI-powered supplement recommendation engine for e-commerce platforms. We integrate into online supplement retailers, pharmacies, and marketplaces to deliver ultra-personalized, science-backed recommendations in real time. Think of it as the AI intelligence layer for the global supplements market. Stack: Python, TypeScript, React Native, Node.js, GraphQL. AI/ML: LLMs, NLP, vector databases (Pinecone/Weaviate), PyTorch, TensorFlow, Hugging Face, LangChain. Infra: AWS/GCP, Docker, Kubernetes, CI/CD. E-commerce integrations: Shopify, PrestaShop, Magento, custom. This is a startup CTO role. You'll own the full technical vision; architecture, AI engine, data pipelines, integrations, team, while still pushing code and joining partner calls. We're live in production, in active commercial conversations across 8+ markets (Poland, Germany, UK, Italy, Austria, Czech Republic, USA), and closing a seed round. Requirements: Polish & English fluency. Warsaw-based (hybrid). Hands-on experience with AI/ML in production. Previous CTO / VP Eng / founding technical lead at a fast-growing startup. Contact: jacob@suppmatch.ai

  9. #9

    JCAI Inc.

    3 years ago

    $100k, $70k

    JCAI Inc. (JCAII) provides intelligent hardware and software solutions to support Aircraft traffic and Deicing operations management to over 150 airports globally. JCAII has designed and developed the most comprehensive and complete de-icing co-ordination, operational management, and information collection system available worldwide.

  10. #10

    Namecoach / Euphonia

    1 month, 1 week ago

    Part-time contract; ~$30-120/hr by seniority. Paid take-home and paid trial month. Potential conversion to full-time. Series A closed, bridge to B in motion.

    Namecoach has spent 10 years building the largest verified pronunciation dataset: ~2M self-recorded name pronunciations plus human-verified phonetic spellings. They are building Euphonia (https://euphonia.namecoach.ai/), a provider-neutral middleware layer that makes any TTS engine pronounce names, acronyms, and out-of-vocabulary terms correctly. The role is a 0 to 1 founding Voice AI engineering position focused on speech and phonetics depth: grapheme-to-phoneme, IPA, ASR/TTS internals, and building and evaluating models around them (especially recognition and G2P). The candidate should be comfortable shipping with agentic dev tools like Claude Code and Cursor. Part-time to start with flexible hours and ~2hr/day overlap with US Pacific. Includes a paid take-home and a paid trial month before longer term; potential conversion to full-time. Series A closed, bridge to B in motion. Hiring instructions: email hiring+hn@name-coach.com with a short note on what interests you and a link to something you’ve built; G2P / TTS / ASR open-source work gets read first.