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Overnight Machine Learning Finance Jobs (NOW HIRING)

Alignerr

Machine Learning Evaluation Specialist What if your years of research and domain expertise could ... Financial modeling and quantitative analysis If your domain isn't listed, we still want to hear ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC

Join a high-growth financial technology organization focused on building modern digital banking ... This team is investing in machine learning and analytics capabilities to help improve fraud ...

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Join a high-growth financial technology organization focused on delivering modern digital banking ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

Machine Learning Engineer This job will validate and develop machine learning models and algorithms ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

... and overnight vitals to millions of Apple Watch users. This role is ideal for an engineer who ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

Coin Flow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

... global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

... and overnight vitals to millions of Apple Watch users. This role is ideal for an engineer who ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Successful candidates will also have deep interest in learning about trading and the financial ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

... global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

... Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful ... and overnight vitals to millions of Apple Watch users. Description This role is ideal for an ...

Purple Drive

Machine Learning Engineer

Newark, NJ · On-site

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Domain knowledge in Financial Services, Insurance, or 401K . * AWS Solutions Architect ...

Two Dots

Machine Learning Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Join Two Dots to build a stronger financial system. Every time someone applies for a mortgage, car ... Two Dots is looking for our 2nd Machine Learning Engineer, who will work closely with the CTO and ...

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Overnight Machine Learning Finance information

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$25K

$92.6K

$135.5K

How much do overnight machine learning finance jobs pay per year?

As of May 28, 2026, the average yearly pay for overnight machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning Finance jobs? The most popular types of Machine Learning Finance jobs are:
Overnight Machine Learning Finance jobs near you

Machine Learning Evaluation Specialist

Alignerr

On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Machine Learning Evaluation Specialist

What if your years of research and domain expertise could directly shape how the next generation of AI models think and reason? That's exactly what this role offers.

We're looking for ML experts and domain specialists to design fiendishly difficult evaluation problems that push state-of-the-art AI systems to their limits. This isn't about textbook prompts — it's about crafting the kind of challenges that only someone with deep, hard-earned expertise can build and judge.

Your work will directly influence how leading AI models are measured, improved, and deployed.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Design complex, original machine learning problems rooted in your specialized domain of expertise
  • Craft evaluation tasks that go beyond standard ML pipelines and require genuine advanced knowledge to solve
  • Draw from your own research experience to build challenges that would stump a highly capable AI
  • Write clear, precise problem statements with defined evaluation criteria and gold-standard solutions
  • Assess AI-generated ML solutions for correctness, creativity, and methodological rigor
  • Document problem difficulty, required domain knowledge, and expected failure modes
  • Collaborate asynchronously with a global team of researchers and engineers

Who You Are

  • You hold graduate-level expertise (MS or PhD preferred) in a scientific or technical domain intersecting with machine learning
  • You have strong working knowledge of core ML methods — model selection, feature engineering, evaluation metrics, and pipeline design
  • You're deeply familiar with active, open research problems in your field
  • You can pinpoint exactly where general ML knowledge falls short and specialized domain insight becomes essential
  • You have experience conducting or publishing original research (highly valued)
  • You communicate complex ideas clearly and precisely in writing
  • You're self-motivated and thrive when working independently on intellectually demanding problems

Example Domains (Not Exhaustive)

We're actively seeking specialists across a wide range of fields, including:

  • Computational biology, genomics, or bioinformatics
  • Climate science and environmental modeling
  • Medical imaging and healthcare ML
  • Materials science and computational chemistry
  • Astrophysics and signal processing
  • NLP for low-resource or specialized corpora
  • Robotics, control theory, or reinforcement learning
  • Financial modeling and quantitative analysis

If your domain isn't listed, we still want to hear from you — if your expertise is deep and niche, it's valuable.

Why Join Us

  • Work at the frontier — contribute directly to AI evaluation and safety research that matters
  • Make your expertise count — finally, a role that rewards deep domain knowledge, not just generalist skills
  • Collaborate globally — work asynchronously alongside top researchers and engineers around the world
  • Full autonomy — flexible schedule, no micromanagement, work when and how you do your best thinking
  • Ongoing opportunity — strong potential for contract extension and deeper research involvement
  • Build your profile — be recognized as a contributor to cutting-edge AI development

Apply now

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