Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 15 days ago

Manager, Machine Learning Engineering

Tala7 open roles

Pay
$170,000 – $210,000 a year
Where
US
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowManager, Machine Learning EngineeringTala · US

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Tala's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Tala postings stay open a median of 24 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 15 days ago

Tala median: 24 days open

The posting

About Tala

Tala is the AI-native credit infrastructure that connects global capital to the global majority. We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, Tala has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. Tala is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on.

The company has been named to the Fortune Impact 20 list, CNBC’s World’s Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes’ Fintech 50 list for ten years running.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

The Role

We’re looking for a Manager, Machine Learning Engineering to lead Tala’s ML Platform team. This person will manage a team of Machine Learning Engineers responsible for building the platforms, frameworks, and infrastructure that enable our Data Science teams to securely train, deploy, monitor, and operate machine learning models at scale.

This is a player-coach management role. You’ll be responsible for developing and growing the team while also providing enough technical leadership to guide architecture, engineering practices, reliability, and production systems. The role has a particular focus on real-time machine learning inference and streaming data systems, as well as the platforms that support batch model development and deployment.

What You'll Do

  • Manage and develop a team of 4–6 Machine Learning Engineers across mid-to-senior levels.
  • Hire, source, interview, and close strong MLE talent.
  • Establish clear expectations, provide regular feedback, and create development plans for direct reports.
  • Coach engineers toward growth and promotion while addressing performance gaps directly and thoughtfully.
  • Create opportunities for engineers to take on challenging projects and grow their technical leadership.
  • Set quarterly goals and ensure the team consistently delivers against them.
  • Own prioritization across product roadmap work, run-the-business activities, and operational excellence.
  • Balance team capacity across new development, maintenance, technical debt, and production support.
  • Improve team productivity by reducing context switching and delegating effectively.
  • Partner with engineers and technical leads to estimate and scope complex work.
  • Guide the development of platforms and frameworks that allow Data Scientists and Analysts to explore data, develop features, and train, test, deploy, and monitor ML models.
  • Provide technical leadership across model infrastructure, real-time inference, streaming feature extraction, batch processing, and production ML systems.
  • Drive strong engineering practices around testing, automation, observability, fault tolerance, infrastructure-as-code, and deployment.
  • Own and improve SLOs, on-call health, capacity planning, reliability, and incident response.
  • Review technical designs and help drive architectural standards and technical debt reduction.
  • Work closely with Data Science, Data Engineering, Data Platform, Product, Credit, and Business Development teams.
  • Translate business and technical needs into scalable ML platform solutions.
  • Coordinate dependencies and delivery across multiple engineering and data teams.
  • Help create structure and clarity in an environment where priorities and requirements can evolve.

What You'll Need

  • 2+ years of directly managing engineers, including hiring, performance management, coaching, and career development.
  • Experience managing a team through at least one full performance cycle.
  • Demonstrated ability to coach engineers toward promotion and address underperformance effectively.
  • Experience owning team goals, prioritization, estimation, and delivery.
  • Experience with production on-call, incident response, and capacity planning.
  • Willingness to be actively involved in sourcing, interviewing, and closing engineering talent.
  • 6+ years of backend software engineering experience in consumer-scale applications.
  • At least 3 years of hands-on Python experience.
  • Experience building and operating machine learning or causal inference systems in production.
  • Earlier-career experience personally building and deploying ML models or ML infrastructure.
  • Ability to participate in technical architecture and system-design discussions and provide technical direction without needing to be the primary coder.
  • Strong understanding of software quality, security, reliability, testing, and production operations.
  • Languages: Python, SQL
  • Machine Learning: Jupyter, Pandas, Scikit-Learn, XGBoost, TensorFlow, PyTorch, Hugging Face
  • Cloud & Infrastructure: AWS, GCP, Azure, Kubernetes, Docker
  • Streaming: Kafka, Kinesis, Beam, Flink, Spark Streaming
  • Batch Processing: Airflow, Metaflow
  • Databases: MySQL, PostgreSQL, Cassandra, Snowflake, Druid, and/or similar technologies
  • APIs: REST, GraphQL, gRPC, Protocol Buffers
  • Production Engineering: DevOps, SLOs, monitoring/observability, on-call, capacity planning, root-cause analysis
  • ML/Analytics: Machine learning, causal inference, scalable algorithms

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Tala's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Tala's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Tala's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.